NeurIPS

AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Peiyuan Feng, Yichen He, Guanhua Huang, Yuan Lin, Hanchong Zhang, Yuchen Zhang, Hang Li

Comments accepted by NeurIPS 2024

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation

Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

Comments Accepted to NeurIPS 2024

Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood

Rayen Dhahri, Alexander Immer, Betrand Charpentier, Stephan Günnemann, Vincent Fortuin

Comments NeurIPS 2024

Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers

Junhan Kim, Chungman Lee, Eulrang Cho, Kyungphil Park, Ho-young Kim, Joonyoung Kim, Yongkweon Jeon

Comments Accepted to NeurIPS 2024

Limits of Transformer Language Models on Learning to Compose Algorithms

Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi

Comments NeurIPS 2024

Accelerating Matroid Optimization through Fast Imprecise Oracles

Franziska Eberle, Felix Hommelsheim, Alexander Lindermayr, Zhenwei Liu, Nicole Megow, Jens Schlöter

Comments NeurIPS 2024

Robustly overfitting latents for flexible neural image compression

Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai

Comments Accepted at Neural Information Processing Systems (NeurIPS) 2024

Optimal Scalarizations for Sublinear Hypervolume Regret

Qiuyi Zhang

Comments Neurips 2024

First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs

Ben Norman, Jeff Clune

Comments Accepted to NeurIPS 2024. Revised version with updated experimental results

Multi-Agent Coordination via Multi-Level Communication

Ziluo Ding, Zeyuan Liu, Zhirui Fang, Kefan Su, Liwen Zhu, Zongqing Lu

Comments NeurIPS 2024

Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model

Billy Jin, Will Ma

Comments An earlier version of this paper was published in NeurIPS 2022

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution

Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang

Comments 25 pages, 6 figures, NeurIPS 2024

Sample-Efficient Private Learning of Mixtures of Gaussians

Hassan Ashtiani, Mahbod Majid, Shyam Narayanan

Comments 52 pages. To appear in Neural Information Processing Systems (NeurIPS), 2024

Counterfactual Explanations via Riemannian Latent Space Traversal

Paraskevas Pegios, Aasa Feragen, Andreas Abildtrup Hansen, Georgios Arvanitidis

Comments Accepted at NeurIPS 2024 Workshop NeurReps

Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs

Alexandros Haliassos, Rodrigo Mira, Honglie Chen, Zoe Landgraf, Stavros Petridis, Maja Pantic

Comments NeurIPS 2024. Code: https://github.com/ahaliassos/usr

Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Kacper Cybiński, James Enouen, Antoine Georges, Anna Dawid

Comments 13 pages, 7 figures. Accepted as a poster at the NeurIPS ML4PS 2024 workshop. Example code is available at https://github.com/kcybinski/TetrisCNN_for_spin_systems

Positive Experience Reflection for Agents in Interactive Text Environments

Philip Lippmann, Matthijs T. J. Spaan, Jie Yang

Comments To appear at NeurIPS 2024 Language Gamification workshop

SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models

Linglan Zhao, Xuerui Zhang, Ke Yan, Shouhong Ding, Weiran Huang

Comments Accepted by NeurIPS 2024

Training Compute-Optimal Protein Language Models

Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song

Comments NeurIPS 2024 (Spotlight); Code: https://github.com/cxysteven/ScalingProteinLM. Additional resources are available here

Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning

Abdulkadir Celikkanat, Andres R. Masegosa, Thomas D. Nielsen

Comments Accepted to the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges

Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu

Comments NeurIPS 2024

Optimal Classification under Performative Distribution Shift

Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier Cappé

Comments 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver (Canada), Canada

Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance

Charles Camboulin, Diego Doimo, Aldo Glielmo

Comments 4 pages, 3 figures, accepted at the Unifying Representations in Neural Models (UniReps) workshop of NeurIPS 2024 (https://unireps.org/2024/)

Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces

Siqi Chen, Zhiqiang Wang, Xianqi Deng, Yili Shen, Cheng-Wei Ju, Jun Yi, Lin Xiong, Guo Ling, Dieaa Alhmoud, Hui Guan, Zhou Lin

Comments Accepted as a Spotlight paper to NeurIPS 2024 AI4Mat Workshop. See https://openreview.net/forum?id=ra3CxVuhUf

Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction

Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang

Comments Accepted by NeurIPS 2024

Classifier-guided Gradient Modulation for Enhanced Multimodal Learning

Zirun Guo, Tao Jin, Jingyuan Chen, Zhou Zhao

Comments Accepted at NeurIPS 2024

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction

Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang

Comments Accepted by NeurIPS 2024

3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction

Jongmin Lee, Minsu Cho

Comments Accepted to NeurIPS 2024, Project webpage at http://cvlab.postech.ac.kr/research/3D_EquiPose

Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all

Ihab Bendidi, Shawn Whitfield, Kian Kenyon-Dean, Hanene Ben Yedder, Yassir El Mesbahi, Emmanuel Noutahi, Alisandra K. Denton

Comments Neurips 2024 AIDrugX Workshop

Graph Edit Distance with General Costs Using Neural Set Divergence

Eeshaan Jain, Indradyumna Roy, Saswat Meher, Soumen Chakrabarti, Abir De

Comments Published at NeurIPS 2024

Journal ref Advances in Neural Information Processing Systems, 38 (2024)