ICLR

Publications

2024

Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh
On Diffusion Modeling for Anomaly Detection. ICLR (2024)
Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. ICLR (2024)
Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan
Thin-Shell Object Manipulations With Differentiable Physics Simulations. ICLR (2024)
Pierre Marion, Yu-Han Wu, Michael Eli Sander, Gérard Biau
Implicit regularization of deep residual networks towards neural ODEs. ICLR (2024)
Khai Nguyen, Nicola Bariletto, Nhat Ho
Quasi-Monte Carlo for 3D Sliced Wasserstein. ICLR (2024)
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. ICLR (2024)
Danny Halawi, Jean-Stanislas Denain, Jacob Steinhardt
Overthinking the Truth: Understanding how Language Models Process False Demonstrations. ICLR (2024)
Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. ICLR (2024)
Pratik Patil, Daniel LeJeune
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning. ICLR (2024)
Erfan Shayegani, Yue Dong, Nael B. Abu-Ghazaleh
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models. ICLR (2024)
Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Towards Meta-Pruning via Optimal Transport. ICLR (2024)
Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. ICLR (2024)
Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. ICLR (2024)
Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
Sentence-level Prompts Benefit Composed Image Retrieval. ICLR (2024)
Olga Fourkioti, Mat De Vries, Chris Bakal
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images. ICLR (2024)
Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford
Towards Principled Representation Learning from Videos for Reinforcement Learning. ICLR (2024)
Guodong Wang, Yunhong Wang, Xiuguo Bao, Di Huang
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification. ICLR (2024)
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
Unlocking the Power of Representations in Long-term Novelty-based Exploration. ICLR (2024)
Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. ICLR (2024)
Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen
De novo Protein Design Using Geometric Vector Field Networks. ICLR (2024)
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Local Search GFlowNets. ICLR (2024)
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis
Self-Alignment with Instruction Backtranslation. ICLR (2024)
Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. ICLR (2024)
Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. ICLR (2024)
Shuo He, Chaojie Wang, Guowu Yang, Lei Feng
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning. ICLR (2024)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR (2024)
Minyoung Park, Mirae Do, YeonJae Shin, Jaeseok Yoo, Jongkwang Hong, Joongrock Kim, Chul Lee
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields. ICLR (2024)
Jiatong Shi, Hirofumi Inaguma, Xutai Ma, Ilia Kulikov, Anna Y. Sun
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction. ICLR (2024)
Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew R. Walter, Yuxin Chen
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. ICLR (2024)
Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods. ICLR (2024)
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. ICLR (2024)
Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
Lipschitz Singularities in Diffusion Models. ICLR (2024)
Seohong Park, Oleh Rybkin, Sergey Levine
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. ICLR (2024)
Ganlin Yang, Guoqiang Wei, Zhizheng Zhang, Yan Lu, Dong Liu
Mask-Based Modeling for Neural Radiance Fields. ICLR (2024)
Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. ICLR (2024)
Hyungho Na, Yunkyeong Seo, Il-Chul Moon
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. ICLR (2024)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR (2024)
Ido Amos, Jonathan Berant, Ankit Gupta
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors. ICLR (2024)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Topological data analysis on noisy quantum computers. ICLR (2024)
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. ICLR (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. ICLR (2024)
Yogesh Verma, Markus Heinonen, Vikas Garg
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs. ICLR (2024)
Huafeng Qin, Xin Jin, Yun Jiang, Mounîm A. El-Yacoubi, Xinbo Gao
Adversarial AutoMixup. ICLR (2024)
Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause
Submodular Reinforcement Learning. ICLR (2024)
Dante Everaert, Christopher Potts
GIO: Gradient Information Optimization for Training Dataset Selection. ICLR (2024)
Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. ICLR (2024)
Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. ICLR (2024)
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
Massively Scalable Inverse Reinforcement Learning in Google Maps. ICLR (2024)
Minyoung Kim, Timothy M. Hospedales
A Hierarchical Bayesian Model for Few-Shot Meta Learning. ICLR (2024)
Benjamin Lyo, Cristina Savin
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities. ICLR (2024)