ICLR 2024 Conference Submissions

Sample-Efficient Training for Score-Based Diffusion
Shivam Gupta, Aditya Parulekar, Eric Price, Zhiyang Xun
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Debias your VLM with Counterfactuals: A Unified Approach
Yi Li, Nuno Vasconcelos
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
Yi Yang, Hanyu Duan, Ahmed Abbasi, John P. Lalor, KAR YAN TAM
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
WildChat: 1M ChatGPT Interaction Logs in the Wild
Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
- Published: 16 Jan 2024, Last Modified: 23 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Aligning Brains into a Shared Space Improves Their Alignment to Large Language Model
ARNAB BHATTACHARJEE, Zaid Zada, Haocheng Wang, Bobbi Aubrey, Samuel Nastase, Werner K Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Orrin Devinsky, Adeen Flinker, Peter Ramadge, Uri Hasson, Ariel Goldstein
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Hierarchical Image Segmentation For Recognition and By Recognition
Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
- Published: 16 Jan 2024, Last Modified: 03 May 2024
- ICLR 2024 spotlight
- Readers: Everyone
Distribution Calibration For Few-Shot Learning by Bayesian Relation Inference
Yuchen Liu, Yang Gu, Weining Weng, Zhaohua Yang, Yiqiang Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Improved Algorithms for Adversarial Multi-armed Bandit with Unbounded Losses
Mingyu Chen, Xuezhou Zhang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Extracting Post-Treatment Covariates for Heterogeneous Treatment Effect Estimation
Qiang Huang, Defu Cao, Yi Chang, Yan Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fast Post-training Analysis of NeRFs Using A Simple Visibility Prediction Network
Jianbo Ye, Jiawei Mo, Xiaolong Li, Xiaohan Fei, Ashwin Swaminathan, Stefano Soatto
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On Socially Fair Regression and Low-Rank Approximation
Zhao Song, Ali Vakilian, David Woodruff, Samson Zhou
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Amphibian: A Meta-Learner for Rehearsal-Free Fast Online Continual Learning
Gobinda Saha, Kaushik Roy
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning the Unseen: Peer-to-Peer Fine-tuning of Vision Transformers
Muhammad Ibrahim Qureshi, Usman Khan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Counterfactual Fairness With the Human in the Loop
Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Can Language Models be Instructed to Protect Personal Information?
Yang Chen, Ethan Adrian Mendes, Sauvik Das, Wei Xu, Alan Ritter
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MATT: Random Local Implicit Purification for Defending Query-based Attacks
Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng, Anna Bair, J Zico Kolter
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DASFormer: Self-supervised Pretraining for Earthquake Monitoring
Qianggang Ding, Zhichao Shen, Weiqiang Zhu, Bang Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Topology-aware Embedding Memory for Learning on Expanding Graphs
Xikun ZHANG, Dongjin Song, Yixin Chen, Dacheng Tao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Active Prompting with Chain-of-Thought for Large Language Models
Shizhe Diao, Pengcheng Wang, LIN Yong, Rui Pan, Xiang Liu, Tong Zhang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen, Oier Mees, Aviral Kumar, Sergey Levine
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone