ICLR 2024 Conference Submissions

Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs
Zihan Zhou, Honghao Wei, Lei Ying
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HyperAttention: Long-context Attention in Near-Linear Time
Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David Woodruff, Amir Zandieh
- Published: 16 Jan 2024, Last Modified: 20 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Memorization Through the Lens of Curvature of Loss Function Around Samples
Isha Garg, Deepak Ravikumar, Kaushik Roy
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Repelling Random Walks
Isaac Reid, Eli Berger, Krzysztof Marcin Choromanski, Adrian Weller
- Published: 16 Jan 2024, Last Modified: 02 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Fast Imitation via Behavior Foundation Models
Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati, Alessandro Lazaric, Yann Ollivier
- Published: 16 Jan 2024, Last Modified: 18 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Stabilizing Backpropagation Through Time to Learn Complex Physics
Patrick Schnell, Nils Thuerey
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay
Leyan Pan, Xinyuan Cao
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RACH-Space: Reconstructing Adaptive Convex Hull Space with applications in weak supervision
Woojoo Na, Abiy Tasissa
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Interactive Real-World Simulators
Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel
- Published: 16 Jan 2024, Last Modified: 01 May 2024
- ICLR 2024 oral
- Readers: Everyone
Active Probabilistic Drug Discovery
Xun Deng, Junlong Liu, Jiansheng Wu, Fuli Feng, Xiangnan He, Zheng Wang, Jieping Ye
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Optimization and Generalizability: Fair Benchmarking for Stochastic Algorithms
Toki Tahmid Inan, Mingrui Liu, Amarda Shehu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning in reverse causal strategic environments with ramifications on two sided markets
Seamus Somerstep, Yuekai Sun, Yaacov Ritov
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
ViFu: Visible Part Fusion for Multiple Scene Radiance Fields
Tianhan Xu, Takuya Ikeda, Koichi Nishiwaki
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Chain-of-Verification Reduces Hallucination in Large Language Models
Shehzaad Zuzar Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason E Weston
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
PAPM: A Physics-aware Proxy Model for Process Systems
Pengwei Liu, Zhongkai Hao, Xingyu Ren, Hangjie Yuan, Dong Ni
- 20 Sept 2023 (modified: 01 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale Quadratically Constrained Quadratic Programs
Zhixiao Xiong, Huigen Ye, Fangyu Zong, Yutong Zhang, Hua Xu, Hongyan Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Active Probabilistic Clustering
Xun Deng, Han Zhong, Junlong Liu, Chen Shen, Fuli Feng, Xiangnan He, Jieping Ye, Zheng Wang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Inductive Transformers: How Large Language Models Form Concepts, And How to Make Them Even Better At It
Ben Vigoda, Thomas Bernard Rochais
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
Shuo He, Chaojie Wang, Guowu Yang, Lei Feng
- Published: 16 Jan 2024, Last Modified: 25 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
MIPGen: Learning to Generate Scalable MIP Instances
Tianxing Yang, Huigen Ye, Hua Xu, Hongyan Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone