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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11804
2402.15555 2024-06-10 cs.LG cs.AI cs.CV

Deep Networks Always Grok and Here is Why

Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

Comments ICML 2024. Website: https://bit.ly/grok-adversarial. Pages 24, Figures 36

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2402.14865 2024-06-10 cs.CL cs.AI cs.LG

Dynamic Evaluation of Large Language Models by Meta Probing Agents

Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie

Comments International Conference on Machine Learning (ICML) 2024

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2402.08679 2024-06-10 cs.LG cs.AI cs.CL

COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu

Comments Accepted to ICML 2024

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2402.06627 2024-06-10 cs.LG cs.AI cs.CL

Feedback Loops With Language Models Drive In-Context Reward Hacking

Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt

Comments ICML 2024 camera-ready

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2402.01030 2024-06-10 cs.CL cs.AI

Executable Code Actions Elicit Better LLM Agents

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

Comments Accepted by ICML 2024; Code, data, model, and demo are available at https://github.com/xingyaoww/code-act

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2401.08573 2024-06-10 cs.CV cs.CR cs.LG

WAVES: Benchmarking the Robustness of Image Watermarks

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

Comments Accepted by ICML 2024

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2401.06102 2024-06-10 cs.CL cs.AI cs.LG

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, Mor Geva

Comments ICML 2024 (to appear)

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2312.11111 2024-06-10 cs.AI cs.CL cs.HC

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

Comments International Conference on Machine Learning (ICML) 2024; an extension to EmotionPrompt (arXiv:2307.11760)

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2312.02120 2024-06-10 cs.CL cs.AI cs.SE

Magicoder: Empowering Code Generation with OSS-Instruct

Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang

Comments Published at ICML 2024

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2310.17512 2024-06-10 cs.AI cs.CL cs.HC cs.MA

CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents

Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

Comments International Conference on Machine Learning (ICML) 2024 Oral; 16 pages; code is at: https://github.com/microsoft/competeai

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2310.16834 2024-06-10 stat.ML cs.CL cs.LG

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Aaron Lou, Chenlin Meng, Stefano Ermon

Comments ICML 2024 Oral. Code at https://github.com/louaaron/Score-Entropy-Discrete-Diffusion

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2306.16978 2024-06-10 cs.RO cs.LG cs.SY eess.SY

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

Comments Accepted to the 41st International Conference on Machine Learning (ICML), 2024

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2306.11825 2024-06-10 cs.CL

DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models

Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng

Comments Accepted to ICML 2024 (Poster). Work was done during an Amazon Internship Program

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2306.08889 2024-06-10 cs.CV cs.AI

Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion

Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan

Comments Accepted at ICML 2024

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2306.05101 2024-06-10 cs.LG

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Sungmin Cha, Kyunghyun Cho, Taesup Moon

Comments ICML 2024 camera-ready version

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2306.04719 2024-06-10 cs.CV cs.AI cs.HC cs.LG q-bio.NC

Don't trust your eyes: on the (un)reliability of feature visualizations

Robert Geirhos, Roland S. Zimmermann, Blair Bilodeau, Wieland Brendel, Been Kim

Comments ICML 2024 camera ready version

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2406.04336 2024-06-07 cs.LG cs.DM cs.DS math.CO math.SP

On the Expressive Power of Spectral Invariant Graph Neural Networks

Bohang Zhang, Lingxiao Zhao, Haggai Maron

Comments 31 pages; 3 figures; to appear in ICML 2024

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2406.04323 2024-06-07 cs.LG cs.AI cs.CV

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories

Qianlan Yang, Yu-Xiong Wang

Comments ICML 2024 Accepted

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2406.04318 2024-06-07 cs.LG cs.AI cs.CV

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction

Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto

Comments ICML 2024. Project website at https://adaptive-sampling-mr.github.io

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2406.04137 2024-06-07 cs.LG math.ST stat.ML stat.TH

Optimal Batched Linear Bandits

Xuanfei Ren, Tianyuan Jin, Pan Xu

Comments 26 pages, 6 figures, 4 tables. To appear in the proceedings of the 41st International Conference on Machine Learning (ICML 2024)

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2406.04062 2024-06-07 cs.GT

Online Learning in Betting Markets: Profit versus Prediction

Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie

Comments ICML 2024

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2406.04050 2024-06-07 cs.CV

Semmeldetector: Application of Machine Learning in Commercial Bakeries

Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet

Journal ref 2023 International Conference on Machine Learning and Applications (ICMLA), IEEE, 2023, pp. 878-883

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2406.04047 2024-06-07 stat.ML cs.LG

Slicing Mutual Information Generalization Bounds for Neural Networks

Kimia Nadjahi, Kristjan Greenewald, Rickard Brüel Gabrielsson, Justin Solomon

Comments Accepted at ICML 2024

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2406.03999 2024-06-07 cs.LG cs.CV

Unveiling the Dynamics of Information Interplay in Supervised Learning

Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang

Comments Accepted by ICML 2024

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2406.03864 2024-06-07 cs.LG

PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect

Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi

Comments Lokesh and Pranava contributed equally. Accepted at ICML-24

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2406.03818 2024-06-07 cs.CV cs.LG cs.MA cs.SC

Amortized Equation Discovery in Hybrid Dynamical Systems

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves

Comments 24 pages, 5 figures, accepted by International Conference on Machine Learning (ICML) 2024

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2406.03793 2024-06-07 cs.LG cs.CV

Low-Rank Similarity Mining for Multimodal Dataset Distillation

Yue Xu, Zhilin Lin, Yusong Qiu, Cewu Lu, Yong-Lu Li

Comments Accepted at ICML 2024

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2406.03731 2024-06-07 cs.LG cs.NE

Quality-Diversity with Limited Resources

Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian

Comments ICML 2024

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2406.03722 2024-06-07 cs.LG cs.AI cs.NE

Offline Multi-Objective Optimization

Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian

Comments ICML 2024

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2406.03697 2024-06-07 cs.CV

Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction

Diwen Wan, Ruijie Lu, Gang Zeng

Comments Accepted by ICML 2024

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