ICLR

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li

Comments ICLR 2024

Curriculum reinforcement learning for quantum architecture search under hardware errors

Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci

Comments 32 pages, 11 figures, 6 tables. Accepted at ICLR 2024

Compressed Context Memory For Online Language Model Interaction

Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song

Comments ICLR 2024. Add streaming setting results and training set analyses

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou

Comments Accepted by The International Conference on Learning Representations (ICLR) 2024

EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling

Siyu Ren, Zhiyong Wu, Kenny Q. Zhu

Comments To appear at ICLR 2024

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla

Comments Accepted at ICLR 2024

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

Hritik Bansal, John Dang, Aditya Grover

Comments 31 pages, Accepted to ICLR 2024

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations

Ruiquan Huang, Yingbin Liang, Jing Yang

Comments Accepted by ICLR 2024

Concept Gradient: Concept-based Interpretation Without Linear Assumption

Andrew Bai, Chih-Kuan Yeh, Pradeep Ravikumar, Neil Y. C. Lin, Cho-Jui Hsieh

Comments 21 pages, 7 figures, published in ICLR 2023

FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Xiaohu Huang, Hao Zhou, Kun Yao, Kai Han

Comments Accepted by ICLR 2024

Constrained Decoding for Cross-lingual Label Projection

Duong Minh Le, Yang Chen, Alan Ritter, Wei Xu

Comments Accepted at ICLR 2024

Learning with Mixture of Prototypes for Out-of-Distribution Detection

Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore

Comments Accepted at ICLR 2024

BECLR: Batch Enhanced Contrastive Few-Shot Learning

Stylianos Poulakakis-Daktylidis, Hadi Jamali-Rad

Comments ICLR 2024 Spotlight Presentation

RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies

Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun

Comments Accepted by the 12th International Conference on Learning Representations (ICLR 2024)

Code Representation Learning At Scale

Dejiao Zhang, Wasi Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang

Comments 10 pages

Journal ref ICLR 2024

ARGS: Alignment as Reward-Guided Search

Maxim Khanov, Jirayu Burapacheep, Yixuan Li

Comments ICLR 2024

Toward effective protection against diffusion based mimicry through score distillation

Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen

Comments ICLR 2024 Conference Paper, the code is available in https://github.com/xavihart/Diff-Protect

Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding

Noam Levi, Alon Beck, Yohai Bar-Sinai

Comments 17 pages, 6 figures

Journal ref Proceedings of the International Conference on Learning Representations (ICLR), 2024

Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach

Shaopeng Fu, Di Wang

Comments In Twelfth International Conference on Learning Representations (ICLR 2024)

Guiding Instruction-based Image Editing via Multimodal Large Language Models

Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan

Comments ICLR'24 (Spotlight) ; Project at https://mllm-ie.github.io ; Code at https://github.com/tsujuifu/pytorch_mgie

Test-Time Training on Nearest Neighbors for Large Language Models

Moritz Hardt, Yu Sun

Comments ICLR final version

Machine Unlearning for Image-to-Image Generative Models

Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu

Comments ICLR 2024

Is Self-Repair a Silver Bullet for Code Generation?

Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama

Comments Accepted to ICLR 2024. Added additional Code Llama experiments and fixed a data processing error harming Code Llama's reported self-repair performance on HumanEval

Learning Multi-Agent Communication with Contrastive Learning

Yat Long Lo, Biswa Sengupta, Jakob Foerster, Michael Noukhovitch

Comments The 12th International Conference on Learning Representations (ICLR)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection

Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould

Comments ICLR 2024. Project page: https://github.com/Qinyu-Allen-Zhao/OptFSOOD

Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation

Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu, Chen

Comments ICLR 2024

Spectrally Transformed Kernel Regression

Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Ravikumar

Comments ICLR 2024 spotlight. 36 pages

ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update

Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan

Comments Spotlight @ ICLR 2024, first two authors contribute equally

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents

Jake Grigsby, Linxi Fan, Yuke Zhu

Comments ICLR 2024

Multilinear Operator Networks

Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher

Comments International Conference on Learning Representations Poster(2024)