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values |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Workshop/NeurReps
|
https://openreview.net/forum?id=0vj5llDXVO
|
poster
|
2311.07143
|
Learning Symmetrization for Equivariance with Orbit Distance Minimization
|
[
"Dat Tien Nguyen",
"Jinwoo Kim",
"Hongseok Yang",
"Seunghoon Hong"
] |
https://huggingface.co/papers/2311.07143
|
[
"https://github.com/tiendatnguyen-vision/orbit-symmetrize"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/NeurReps
|
https://openreview.net/forum?id=0Atc0bcU6x
|
poster
|
2311.10156
|
Algebraic Topological Networks via the Persistent Local Homology Sheaf
|
[
"Gabriele Cesa",
"Arash Behboodi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/NeurReps
|
https://openreview.net/forum?id=030cPt4d8i
|
poster
|
2311.08170
|
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
|
[
"Giovanni Luca Marchetti",
"Gabriele Cesa",
"Kumar Pratik",
"Arash Behboodi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=x4I3Ze3tP6
|
poster
|
2305.18248
|
Do Language Models Know When They're Hallucinating References?
|
[
"Ayush Agrawal",
"Mirac Suzgun",
"Lester Mackey",
"Adam Kalai"
] |
https://huggingface.co/papers/2305.18248
|
[
"https://github.com/microsoft/hallucinated-references"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/ICBINB
|
https://openreview.net/forum?id=w7o14LCw9P
|
poster
|
2304.10513
|
Why Does ChatGPT Fall Short in Providing Truthful Answers?
|
[
"Shen Zheng",
"Jie Huang",
"Kevin Chang"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=vxfkVY2SLj
|
poster
|
2310.03211
|
On the performance of Multimodal Language Models
|
[
"Utsav Garg",
"Erhan Bas"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=vAiEQBh2AW
|
poster
|
2310.19737
|
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats
|
[
"Leo Schwinn",
"David Dobre",
"Stephan Günnemann",
"Gauthier Gidel"
] |
[
"https://github.com/schwinnl/llm_embedding_attack"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=tGM7rOmJzV
|
poster
|
Transformer-Based Large Language Models Are Not General Learners: A Universal Circuit Perspective
|
[
"Yang Chen",
"Yitao Liang",
"Zhouchen Lin"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=tCZFmDyPFm
|
poster
|
A Study on Improving Reasoning in Language Models
|
[
"Yuqing Du",
"Alexander Havrilla",
"Sainbayar Sukhbaatar",
"Pieter Abbeel",
"Roberta Raileanu"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=qED8CGow7f
|
poster
|
Interactive Model Correction with Natural Language
|
[
"Yoonho Lee",
"Michelle Lam",
"Helena Vasconcelos",
"Michael Bernstein",
"Chelsea Finn"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=pTEm4Gz7xL
|
poster
|
2312.13614
|
Structure-Aware Path Inference for Neural Finite State Transducers
|
[
"Weiting Tan",
"Chu-Cheng Lin",
"Jason Eisner"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=nZM9Wxu3vw
|
poster
|
Analyzing the factual knowledge of parameter efficient instruction tuned mid-size Large Language Models
|
[
"Anmol Nayak",
"Hariprasad Timmapathini"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=loTgtzhoI2
|
poster
|
Beyond Erdos-Renyi: Generalization in Algorithmic Reasoning on Graphs
|
[
"Dobrik Georgiev",
"Pietro Lio",
"Jakub Bachurski",
"Junhua Chen",
"Tunan Shi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=lJWTOSxWgd
|
poster
|
2312.01054
|
Exploring and Improving the Spatial Reasoning Abilities of Large Language Models
|
[
"Manasi Sharma"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=l188N6IZNY
|
poster
|
Towards Better Understanding of Domain Shift on Linear-Probed Visual Foundation Models
|
[
"Eric Heim"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=ZzOinWt0sh
|
poster
|
How Many Raters Do You Need? Power Analysis for Foundation Models
|
[
"Christopher M Homan",
"Shira Wein",
"Chris Welty",
"Lora Aroyo"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=YlhKbQ0zF3
|
poster
|
Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning?
|
[
"Joy Hsu",
"Gabriel Poesia",
"Jiajun Wu",
"Noah Goodman"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=WIzlQGKgVP
|
poster
|
2310.03513
|
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery
|
[
"Joseph Alejandro Gallego Mejia",
"Anna Jungbluth",
"Laura Martínez-Ferrer",
"Francisco Dorr",
"Matthew Allen",
"Freddie Kalaitzis",
"Raúl Ramos-Pollán"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=TGTZwVabpU
|
poster
|
2309.12288
|
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
|
[
"Lukas Berglund",
"Meg Tong",
"Maximilian Kaufmann",
"Mikita Balesni",
"Asa Stickland",
"Tomasz Korbak",
"Owain Evans"
] |
https://huggingface.co/papers/2309.12288
|
[
"https://github.com/lukasberglund/reversal_curse"
] |
[] |
[] |
[
"lberglund/reversal_curse"
] |
NeurIPS2024
|
|
Workshop/ICBINB
|
https://openreview.net/forum?id=SGiQxu8zFL
|
poster
|
2311.15548
|
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination
|
[
"Haoqiang Kang",
"Xiao-Yang Liu"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=R7OizRVhEu
|
poster
|
2310.18191
|
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
|
[
"Fady Rezk",
"Antreas Antoniou",
"Henry Gouk",
"Timothy Hospedales"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=PxiuaUKf8y
|
poster
|
2311.16201
|
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
|
[
"Yuhui Zhang",
"Brandon McKinzie",
"Zhe Gan",
"Vaishaal Shankar",
"Alexander Toshev"
] |
https://huggingface.co/papers/2311.16201
|
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/ICBINB
|
https://openreview.net/forum?id=OptKBWmreP
|
poster
|
2312.09300
|
Self-Evaluation Improves Selective Generation in Large Language Models
|
[
"Jie Ren",
"Yao Zhao",
"Tu Vu",
"Peter J Liu",
"Balaji Lakshminarayanan"
] |
https://huggingface.co/papers/2312.09300
|
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/ICBINB
|
https://openreview.net/forum?id=MXey5JIvz2
|
poster
|
SentimentPulse: Temporal-Aware Custom Language Models vs. GPT-3.5 for Consumer Sentiment
|
[
"Lixiang Li",
"Nagender Aneja",
"Alina Nesen",
"Bharat Bhargava"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=JZaTnRVuuN
|
poster
|
2310.02777
|
The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models
|
[
"Chenwei Wu",
"Patrick haffner",
"Li Erran Li",
"Stefano Ermon",
"Rong Ge"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=HnABvwYxc7
|
poster
|
2312.05021
|
A Negative Result on Gradient Matching for Selective Backprop
|
[
"Lukas Balles",
"Cedric Archambeau",
"Giovanni Zappella"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=HBEegN2HcR
|
poster
|
Can Segment Anything Model Improve Semantic Segmentation?
|
[
"Maryam Qamar",
"Donghoon Kim",
"Muhammad Salman Ali",
"Chaoning Zhang",
"Sung-Ho Bae"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=GYOXIRXI7W
|
poster
|
2310.19698
|
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
|
[
"Aleksandar Petrov",
"Philip Torr",
"Adel Bibi"
] |
https://huggingface.co/papers/2310.19698
|
[
"https://github.com/aleksandarpetrov/prefix-tuning-theory"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/ICBINB
|
https://openreview.net/forum?id=FWTqwlHBC5
|
poster
|
2312.04021
|
A Study on the Calibration of In-context Learning
|
[
"Hanlin Zhang",
"YiFan Zhang",
"Yaodong Yu",
"Dhruv Madeka",
"Dean Foster",
"Eric P. Xing",
"Himabindu Lakkaraju",
"Sham M. Kakade"
] |
[
"https://github.com/hlzhang109/icl-calibration"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=EooD8NMyQM
|
poster
|
Segment Anything Model (SAM) Enhances Pseudo-Labels for Weakly Supervised Semantic Segmentation
|
[
"Tianle Chen",
"Zheda Mai",
"Ruiwen Li",
"Wei-Lun Chao"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=C0jJAbMMub
|
poster
|
Zero-shot capabilities of visual language models with prompt engineering for images of animals
|
[
"Andrea Tejeda Ocampo",
"Eric Orenstein",
"Kakani Young"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=AUj2IKYdgi
|
poster
|
Surprising Deviations from Bayesian View in In-Context Learning
|
[
"Madhur Panwar",
"Kabir Ahuja",
"Navin Goyal"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=8iuTHgTJEY
|
poster
|
2312.10065
|
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models
|
[
"Adhithya Prakash Saravanan",
"Rafal Kocielnik",
"Roy Jiang",
"Pengrui Han",
"Anima Anandkumar"
] |
https://huggingface.co/papers/2312.10065
|
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/ICBINB
|
https://openreview.net/forum?id=8Q84ensxZ1
|
poster
|
2310.06641
|
How (not) to ensemble LVLMs for VQA
|
[
"Lisa Alazraki",
"Lluis Castrejon",
"Mostafa Dehghani",
"Fantine Huot",
"Jasper Uijlings",
"Thomas Mensink"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=86SnqmSVv2
|
poster
|
A Natural Experiment on LLM Data Contamination in Code Generation
|
[
"Manley Roberts",
"Himanshu Thakur",
"Christine Herlihy",
"Colin White",
"Samuel Dooley"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ICBINB
|
https://openreview.net/forum?id=6Hv4aeezrS
|
poster
|
2309.13788
|
Can LLM-Generated Misinformation Be Detected?
|
[
"Canyu Chen",
"Kai Shu"
] |
https://huggingface.co/papers/2309.13788
|
[
"https://github.com/llm-misinformation/llm-misinformation"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/ICBINB
|
https://openreview.net/forum?id=3darGLCe5t
|
poster
|
2311.14677
|
Filter bubbles and affective polarization in user-personalized large language model outputs
|
[
"Tomo Lazovich"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ICBINB
|
https://openreview.net/forum?id=0RwbmLUU2o
|
poster
|
Are large language models good annotators?
|
[
"Jay Mohta",
"Kenan Ak",
"Yan Xu",
"Mingwei Shen"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=zwqlV7HoaT
|
poster
|
Sparse Modern Hopfield Networks
|
[
"Andre Martins",
"Vlad Niculae",
"Daniel C McNamee"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=yAI92fMOkD
|
poster
|
Controlling the bifurcations of attractors in modern Hopfield networks
|
[
"Maria Yampolskaya",
"Pankaj Mehta"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=uMQiDWxCKd
|
oral
|
Associative Transformer Is A Sparse Representation Learner
|
[
"Yuwei Sun",
"Hideya Ochiai",
"Zhirong Wu",
"Stephen Lin",
"Ryota Kanai"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=sYAm62gWbo
|
oral
|
2306.04532
|
Long Sequence Hopfield Memory
|
[
"Hamza Tahir Chaudhry",
"Jacob A Zavatone-Veth",
"Dmitry Krotov",
"Cengiz Pehlevan"
] |
[
"https://github.com/pehlevan-group/longsequencehopfieldmemory"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=qvD4lx2iV0
|
poster
|
2311.15047
|
Training a Hopfield Variational Autoencoder with Equilibrium Propagation
|
[
"Tom Van Der Meersch",
"Johannes Deleu",
"Thomas Demeester"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=pgPAsSv5ga
|
poster
|
2311.03498
|
In-Context Exemplars as Clues to Retrieving from Large Associative Memory
|
[
"Jiachen ZHAO"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=mvSmkxqdxp
|
poster
|
Enhanced cue associated memory in temporally consistent recurrent neural networks
|
[
"Udith Haputhanthri",
"Liam Storan",
"Adam Shai",
"Surya Ganguli",
"Mark Schnitzer",
"Hidenori Tanaka",
"Fatih Dinc"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=lrfoJwxRWq
|
poster
|
Learning Sequence Attractors in Hopfield Networks with Hidden Neurons
|
[
"Yao Lu",
"Si Wu"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=lO61aZlteS
|
poster
|
Associative Memory Under the Probabilistic Lens: Improved Transformers Dynamic Memory Creation
|
[
"Rylan Schaeffer",
"Mikail Khona",
"Nika Zahedi",
"Ila R Fiete",
"Andrey Gromov",
"Sanmi Koyejo"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=hkV9CvCOjH
|
oral
|
2309.17290
|
In search of dispersed memories: Generative diffusion models are associative memory networks
|
[
"Luca Ambrogioni"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=hXef89mdlH
|
poster
|
Memorization and consolidation in associative memory networks
|
[
"Danil Tyulmankov",
"Kim Stachenfeld",
"Dmitry Krotov",
"Larry Abbott"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=gzFuhvumGn
|
poster
|
Modeling Recognition Memory with Predictive Coding and Hopfield Networks
|
[
"Tianjin Li",
"Mufeng Tang",
"Rafal Bogacz"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=guPW3ACk2L
|
poster
|
Associative Memories with Heavy-Tailed Data
|
[
"Vivien Cabannes",
"Elvis Dohmatob",
"Alberto Bietti"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=dHmAhYu89E
|
poster
|
2310.18805
|
Inverse distance weighting attention
|
[
"Calvin McCarter"
] |
[
"https://github.com/calvinmccarter/idw-attention"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=byxEgvdtwO
|
poster
|
Modern Hopfield Networks as Memory for Iterative Learning on Tabular Data
|
[
"Bernhard Schäfl",
"Lukas Gruber",
"Angela Bitto-Nemling",
"Sepp Hochreiter"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=bv2szxARh2
|
poster
|
Random Feature Hopfield Networks generalize retrieval to previously unseen examples
|
[
"Matteo Negri",
"Clarissa Lauditi",
"Gabriele Perugini",
"Carlo Lucibello",
"Enrico Maria Malatesta"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=bNBMnQXRJU
|
oral
|
Retrieving k-Nearest Memories with Modern Hopfield Networks
|
[
"Alexander Davydov",
"Sean Jaffe",
"Ambuj Singh",
"Francesco Bullo"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=XnAZwqF0iv
|
poster
|
A Different Route to Exponential Storage Capacity
|
[
"Elvis Dohmatob"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=XTOD2M980W
|
poster
|
Variable Memory: Beyond the Fixed Memory Assumption in Memory Modeling
|
[
"Arjun Karuvally",
"Hava T Siegelmann"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=WjHYgEfXiV
|
poster
|
Biologically-inspired adaptive learning in the Hopfield-network based self-optimization model
|
[
"Aisha Belhadi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=WWTOAKAczk
|
poster
|
2401.11543
|
How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
|
[
"Siddharth Mansingh",
"Michal Kucer",
"Garrett T. Kenyon",
"Juston Moore",
"Michael Teti"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=Vmndp6HnfR
|
poster
|
Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach
|
[
"Cédric Goemaere",
"Johannes Deleu",
"Thomas Demeester"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=VOSrMFgWdL
|
oral
|
Sequential Learning and Retrieval in a Sparse Distributed Memory: The K-winner Modern Hopfield Network
|
[
"Shaunak Bhandarkar",
"James Lloyd McClelland"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=TNw5KrKppB
|
poster
|
2302.07253
|
Energy Transformer
|
[
"Benjamin Hoover",
"Yuchen Liang",
"Bao Pham",
"Rameswar Panda",
"Hendrik Strobelt",
"Duen Horng Chau",
"Mohammed J Zaki",
"Dmitry Krotov"
] |
[
"https://github.com/zhuergou/energy-transformer-for-graph-anomaly-detection"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=SiTNMzCwQ4
|
poster
|
Modulating interactions to control dynamics of neural networks
|
[
"Lukas Herron",
"Pablo Sartori",
"BingKan Xue"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=RZmsvaEATv
|
poster
|
Generalizable Relational Inference with Cognitive Maps in a Hippocampal Model and in Primates
|
[
"Jaedong Hwang",
"Sujaya Neupane",
"Mehrdad Jazayeri",
"Ila R Fiete"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=O5Se9wGYbh
|
poster
|
Modern Hopfield Network with Local Learning Rules for Class Generalization
|
[
"Shruti A Joshi",
"Giri Prashanth",
"Maksim Bazhenov"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=MuANyzcyrS
|
oral
|
Rapid Learning without Catastrophic Forgetting in the Morris Water Maze
|
[
"Raymond Wang",
"Jaedong Hwang",
"Akhilan Boopathy",
"Ila R Fiete"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=M7yGTXajq5
|
poster
|
2311.03421
|
Hopfield-Enhanced Deep Neural Networks for Artifact-Resilient Brain State Decoding
|
[
"Arnau Marin-Llobet",
"Arnau Manasanch",
"Maria V. Sanchez Vives"
] |
[
"https://github.com/arnaumarin/hdnn-artifactbrainstate"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=KwZ43TkKUL
|
poster
|
2310.07239
|
Multidimensional Hopfield Networks for clustering
|
[
"Gergely Stomfai",
"Łukasz Sienkiewicz",
"Barbara Rychalska"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=KEnMXCcB5C
|
poster
|
Statistics-guided Associative Memories
|
[
"Hongzhi Wang",
"Satyananda Kashyap",
"Niharika Shimona D'Souza",
"Tanveer Syeda-mahmood"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=KCB7lcoo9f
|
poster
|
2405.08777
|
Daydreaming Hopfield Networks and their surprising effectiveness on correlated data
|
[
"Ludovica Serricchio",
"Claudio Chilin",
"Dario Bocchi",
"Raffaele Marino",
"Matteo Negri",
"Chiara Cammarota",
"Federico Ricci-Tersenghi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=JhTn1Lt04U
|
oral
|
Hopfield Boosting for Out-of-Distribution Detection
|
[
"Claus Hofmann",
"Simon Lucas Schmid",
"Bernhard Lehner",
"Daniel Klotz",
"Sepp Hochreiter"
] |
[
"https://github.com/ml-jku/hopfield-boosting"
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=Fhx7nVoCQW
|
poster
|
2310.04334
|
Saliency-Guided Hidden Associative Replay for Continual Learning
|
[
"Guangji Bai",
"Qilong Zhao",
"Xiaoyang Jiang",
"Liang Zhao"
] |
[
"https://github.com/baithebest/sharc"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=EJmgk8vXMQ
|
poster
|
Skip Connections Increase the Capacity of Associative Memories in Variable Binding Mechanisms
|
[
"Yi Xie",
"Yichen Li",
"Akshay Rangamani"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=E6RCLm6mqr
|
poster
|
2311.06518
|
Minimum Description Length Hopfield Networks
|
[
"Matan Abudy",
"Nur Lan",
"Emmanuel Chemla",
"Roni Katzir"
] |
[
"https://github.com/matanabudy/mdl-hn"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=B1BL9go65H
|
poster
|
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories
|
[
"Benjamin Hoover",
"Hendrik Strobelt",
"Dmitry Krotov",
"Judy Hoffman",
"Zsolt Kira",
"Duen Horng Chau"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=AXiMq2k4cb
|
poster
|
2311.18434
|
Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks
|
[
"Felix Koulischer",
"Cédric Goemaere",
"Tom Van Der Meersch",
"Johannes Deleu",
"Thomas Demeester"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/AMHN
|
https://openreview.net/forum?id=463RlISt9t
|
poster
|
Probabilistic Forecasting via Modern Hopfield Networks
|
[
"Kashif Rasul",
"Pablo Vicente",
"Anderson Schneider",
"Alexander März"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/AMHN
|
https://openreview.net/forum?id=2DS1BDhRz3
|
poster
|
Error-correcting columnar networks: high-capacity memory under sparse connectivity
|
[
"Haozhe Shan",
"Ludovica Bachschmid-Romano",
"Haim Sompolinsky"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=yvWlYTAkl3
|
poster
|
Model-Free Preference Elicitation
|
[
"Carlos Martin",
"Craig Boutilier",
"Ofer Meshi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=yuJEkWSkTN
|
poster
|
Active Learning for Iterative Offline Reinforcement Learning
|
[
"Lan Zhang",
"Luigi Franco Tedesco",
"Pankaj Rajak",
"Youcef Zemmouri",
"Hakan Brunzell"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=yPlkx5u4cg
|
poster
|
2312.04604
|
Transferable Candidate Proposal with Bounded Uncertainty
|
[
"Kyeongryeol Go",
"Kye-Hyeon Kim"
] |
[
"https://github.com/gokyeongryeol/tbu"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ReALML
|
https://openreview.net/forum?id=y7FZ6KXEvl
|
poster
|
Sequentially Adaptive Experimentation for Learning Optimal Options subject to Unobserved Contexts
|
[
"Hongju Park",
"Mohamad Kazem Shirani Faradonbeh"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=xrz7hNsLNd
|
poster
|
Decentralized and Asynchronous Multi-Agent Active Search and Tracking when Targets Outnumber Agents
|
[
"Arundhati Banerjee",
"Jeff Schneider"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=xfj5jjpOaL
|
poster
|
2311.18274
|
Semiparametric Efficient Inference in Adaptive Experiments
|
[
"Thomas Cook",
"Alan Mishler",
"Aaditya Ramdas"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ReALML
|
https://openreview.net/forum?id=wxpxPL3RkP
|
poster
|
2311.14146
|
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
|
[
"Marc Schachtsiek",
"Simone Rossi",
"Thomas Hannagan"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ReALML
|
https://openreview.net/forum?id=wtDzsitgO8
|
poster
|
Pure Exploration under Mediators’ Feedback
|
[
"Riccardo Poiani",
"Alberto Maria Metelli",
"Marcello Restelli"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=wXCqXdKaO8
|
poster
|
2309.02236
|
DISTRIBUTIONALLY ROBUST MODEL-BASED REINFORCEMENT LEARNING WITH LARGE STATE SPACES
|
[
"Shyam Sundhar Ramesh",
"Pier Giuseppe Sessa",
"Yifan Hu",
"Andreas Krause",
"Ilija Bogunovic"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ReALML
|
https://openreview.net/forum?id=vbPRv4KwfG
|
poster
|
2310.18288
|
Sustainable Concrete via Bayesian Optimization
|
[
"Sebastian Ament",
"Andrew Christopher Witte",
"Nishant Garg",
"Julius Kusuma"
] |
[
"https://github.com/facebookresearch/sustainableconcrete"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ReALML
|
https://openreview.net/forum?id=vBwfTUDTtz
|
poster
|
Active Model Selection: A Variance Minimization Approach
|
[
"Mitsuru Matsuura",
"Satoshi Hara"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=utVPf9dRgy
|
poster
|
Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine
|
[
"Ketong Shao",
"Diego Romeres",
"Ankush Chakrabarty",
"Ali Mesbah"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=u6NK3Jm4ka
|
poster
|
Residual Deep Gaussian Processes on Manifolds for Geometry-aware Bayesian Optimization on Hyperspheres
|
[
"Kacper Wyrwal",
"Viacheslav Borovitskiy"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=u2eV6JA0nY
|
poster
|
Exploratory Training: When Annotators Learn About Data
|
[
"Rajesh Shrestha",
"Omeed Habibelahian",
"Arash Termehchy",
"Paolo Papotti"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=t3PzfH98Mq
|
poster
|
Graph Neural Bayesian Optimization for Virtual Screening
|
[
"Miles Wang-Henderson",
"Bartu Soyuer",
"Parnian Kassraie",
"Andreas Krause",
"Ilija Bogunovic"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=sTkValZrOS
|
poster
|
Zooming Optimistic Optimization Method to solve the Threshold Estimation Problem
|
[
"Julien Audiffren"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=qwrnFONObA
|
poster
|
2403.10671
|
Hessian-Free Laplace in Bayesian Deep Learning
|
[
"James McInerney",
"Nathan Kallus"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/ReALML
|
https://openreview.net/forum?id=obBbfvg5d0
|
poster
|
On Complex Network Dynamics of an In-Vitro Neuronal System during Rest and Gameplay
|
[
"Moein Khajehnejad",
"Forough Habibollahi",
"Alon Loeffler",
"Brett Joseph Kagan",
"Adeel Razi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=n9zR0sMY4c
|
poster
|
Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control
|
[
"Harit Vishwakarma",
"Heguang Lin",
"Ramya Vinayak"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=kPWO1v0slD
|
poster
|
Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning
|
[
"Tom Blau",
"Iadine Chades",
"Amir Dezfouli",
"Daniel M Steinberg",
"Edwin V. Bonilla"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=k2kBjcKVal
|
poster
|
Correlated Trajectory Uncertainty for Adaptive Sequential Decision Making
|
[
"Ian Char",
"Youngseog Chung",
"Rohan Shah",
"Willie Neiswanger",
"Jeff Schneider"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/ReALML
|
https://openreview.net/forum?id=juq0ZUWOoY
|
poster
|
Efficient and scalable reinforcement learning via Hypermodel
|
[
"Yingru Li",
"Jiawei Xu",
"Zhi-Quan Luo"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
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