ICLR

2022–2026 LIVE

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Machine Learning

2024 · 2,260 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2024 · ICLR
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
Seungone Kim, Jay Shin, yejin cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Ryan S Shin, Sungdong Kim, James Thorne, Minjoon Seo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Prompt Gradient Projection for Continual Learning
Jingyang Qiao, Zhizhong Zhang, Xin Tan, Chengwei Chen, Yanyun Qu, Yong Peng, Yuan Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Prompt Learning with Quaternion Networks
Boya Shi, Zhengqin Xu, Shuai Jia, Chao Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Thomas Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric Xing, Zhiting Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PromptTTS 2: Describing and Generating Voices with Text Prompt
Yichong Leng, ZHifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, leying zhang, Kaitao Song, Lei He, Xiangyang Li, sheng zhao, Tao Qin, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Proper Laplacian Representation Learning
Diego Gomez, Michael Bowling, Marlos C. Machado
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Protein Discovery with Discrete Walk-Jump Sampling
Nathan Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Protein Multimer Structure Prediction via Prompt Learning
Ziqi Gao, Xiangguo SUN, Zijing Liu, Yu Li, Hong Cheng, Jia Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin CUI, Wenming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Protein-ligand binding representation learning from fine-grained interactions
Shikun Feng, Minghao Li, Yinjun JIA, Wei-Ying Ma, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
Yilan Zhang, Yingxue XU, Jianqi Chen, Fengying Xie, Hao CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provable Compositional Generalization for Object-Centric Learning
Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
Na Li, Yuchen Jiao, Hangguan Shan, Shefeng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provable Offline Preference-Based Reinforcement Learning
Wenhao Zhan, Masatoshi Uehara, Nathan Kallus, Jason Lee, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provable Reward-Agnostic Preference-Based Reinforcement Learning
Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provable Robust Watermarking for AI-Generated Text
Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, anima anandkumar, Kamyar Azizzadenesheli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provably Efficient CVaR RL in Low-rank MDPs
Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
Ruiquan Huang, Yingbin Liang, Jing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Provably Robust Conformal Prediction with Improved Efficiency
Ge Yan, Yaniv Romano, Tsui-Wei Weng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Proving Test Set Contamination in Black-Box Language Models
Yonatan Oren, Nicole Meister, Niladri Chatterji, Faisal Ladhak, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
Sumeet Batra, Bryon Tjanaka, Matthew Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav Sukhatme
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pseudo-Generalized Dynamic View Synthesis from a Video
Xiaoming Zhao, R Colburn, Fangchang Ma, MIGUEL ANGEL BAUTISTA, Joshua Susskind, Alex Schwing
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David Wagner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pushing Boundaries: Mixup's Influence on Neural Collapse
Quinn Fisher, Haoming Meng, Vardan Papyan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Chunyi Li, Wenxiu Sun, Qiong Yan, Guangtao Zhai, Weisi Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhengsu Chen, XIAOPENG ZHANG, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quadratic models for understanding catapult dynamics of neural networks
Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan, Misha Belkin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quality-Diversity through AI Feedback
Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, G. Schott, Joel Lehman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quantifying and Enhancing Multi-modal Robustness with Modality Preference
Zequn Yang, Yake Wei, Ce Liang, Di Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Gabriele Sarti, Grzegorz Chrupała, Malvina Nissim, Arianna Bisazza
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
Joar Skalse, Alessandro Abate
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quasi-Monte Carlo for 3D Sliced Wasserstein
Khai Nguyen, Nicola Bariletto, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
Hao Sun, Alihan Hüyük, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Querying Easily Flip-flopped Samples for Deep Active Learning
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
Jiayu Xiao, Henglei Lv, Liang Li, Shuhui Wang, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Mengyuan Chen, Junyu Gao, Changsheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
R-MAE: Regions Meet Masked Autoencoders
Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G Snoek, Xinlei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RAIN: Your Language Models Can Align Themselves without Finetuning
Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng, Fu-En Yang, Chien-Yi Wang, Yung-Hsuan Lai, Yu-Chiang Frank Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher Manning
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Maxwell Xu, Alexander Moreno, Hui Wei, Benjamin M Marlin, James Rehg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández Lobato
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
Fangyuan Xu, Weijia Shi, Eunsol Choi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
REFACTOR: Learning to Extract Theorems from Proofs
Jin Zhou, Yuhuai Wu, Qiyang Li, Roger Grosse
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RETSim: Resilient and Efficient Text Similarity
Marina Zhang, Owen Vallis, Aysegul Bumin, Tanay Vakharia, Elie Bursztein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
David Ireland, Giovanni Montana
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun (Violet) Peng, Yuandong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RLIF: Interactive Imitation Learning as Reinforcement Learning
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
Samuel Pegg, Kai Li, Xiaolin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Raidar: geneRative AI Detection viA Rewriting
Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
David Robin, Kevin Scaman, marc lelarge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
Xiangyu Dong, Xingyi Zhang, Sibo WANG
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
Shangyu Wu, Ying Xiong, Yufei CUI, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ReMasker: Imputing Tabular Data with Masked Autoencoding
Tianyu Du, Luca Melis, Ting Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
Jianhao Yuan, Jie Zhang, Shuyang Sun, Philip Torr, Bo ZHAO
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
Zhenhui Ye, Tianyun Zhong, Yi Ren, Jiaqi Yang, Weichuang Li, Jiawei Huang, Ziyue Jiang, Jinzheng He, Rongjie Huang, Jinglin Liu, Chen Zhang, Xiang Yin, Zejun MA, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Linhao Luo, Yuan-Fang Li, Reza Haffari, Shirui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reasoning with Latent Diffusion in Offline Reinforcement Learning
Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John Dolan, Jeff Schneider, Glen Berseth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
Tales Carvalho, Kenneth Tjhia, Levi Lelis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reconciling Spatial and Temporal Abstractions for Goal Representation
Mehdi Zadem, Sergio Mover, Sao Mai Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Recursive Generalization Transformer for Image Super-Resolution
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reinforcement Symbolic Regression Machine
Yilong Xu, Yang Liu, Hao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Anthony Bardou, Patrick Thiran, Thomas Begin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
Utkarsh Kumar Mall, Cheng Perng Phoo, Meilin Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi Jaakkola
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos Nikolakakis, Amin Karbasi, Dionysios Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Repelling Random Walks
Isaac Reid, Eli Berger, Krzysztof Choromanski, Adrian Weller
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Replay across Experiments: A Natural Extension of Off-Policy RL
Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Tianyang Liu, Canwen Xu, Julian McAuley
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Representation Deficiency in Masked Language Modeling
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ResFields: Residual Neural Fields for Spatiotemporal Signals
Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys, Siyu Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
Sangyu Han, Yearim Kim, Nojun Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye HAO, Bin Li, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
Quanrui Rao, Lin Wang, Wuying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Lifan Zhao, Yanyan Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
Hang Yin, Zihao Wang, Yangqiu Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
Machine Learning
日本大学: 関与なし（対象大学）