ICLR

Softened Symbol Grounding for Neuro-symbolic Systems

Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü

Comments Published as a conference paper at ICLR 2023. Code is available at https://github.com/SoftWiser-group/Soften-NeSy-learning

Tree Cross Attention

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

Comments Accepted by ICLR 2024

$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States

Sam Bond-Taylor, Chris G. Willcocks

Comments Accepted at ICLR 2024

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control

Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty

Comments Published as a Conference Paper at ICLR 2020

Journal ref International Conference on Learning Representations (ICLR 2020); https://openreview.net/forum?id=ryxmb1rKDS

Spatially-Aware Transformer for Embodied Agents

Junmo Cho, Jaesik Yoon, Sungjin Ahn

Comments ICLR 2024 Spotlight. First two authors contributed equally

Alt-Text with Context: Improving Accessibility for Images on Twitter

Nikita Srivatsan, Sofia Samaniego, Omar Florez, Taylor Berg-Kirkpatrick

Comments ICLR 2024

Curiosity-driven Red-teaming for Large Language Models

Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James Glass, Akash Srivastava, Pulkit Agrawal

Comments Published at ICLR 2024

Loss-Free Machine Unlearning

Jack Foster, Stefan Schoepf, Alexandra Brintrup

Comments Accepted as a Tiny Paper at ICLR 2024

Masks, Signs, And Learning Rate Rewinding

Advait Gadhikar, Rebekka Burkholz

Comments Accepted for publishing at ICLR 2024

Protein Multimer Structure Prediction via Prompt Learning

Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li

Comments International Conference on Learning Representations (ICLR 2024)

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy

Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan

Comments Accepted at ICLR 2024

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning

Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

Comments Published at International Conference of Learning Representations (ICLR) 2024. 26 pages

Deep Confident Steps to New Pockets: Strategies for Docking Generalization

Gabriele Corso, Arthur Deng, Benjamin Fry, Nicholas Polizzi, Regina Barzilay, Tommi Jaakkola

Journal ref International Conference on Learning Representations 2024

Efficient local linearity regularization to overcome catastrophic overfitting

Elias Abad Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher

Comments Accepted in ICLR 2024

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo

Comments ICLR 2024

Controlling Vision-Language Models for Multi-Task Image Restoration

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön

Comments Accepted by ICLR 2024. Project page: https://algolzw.github.io/daclip-uir/index.html

Exploring the Promise and Limits of Real-Time Recurrent Learning

Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber

Comments Accepted to ICLR 2024

Efficient ConvBN Blocks for Transfer Learning and Beyond

Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long

Comments ICLR 2024, camera ready version

Learning dynamic representations of the functional connectome in neurobiological networks

Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley, Eviatar Yemini, Steven W. Zucker

Comments Accepted at ICLR 24

A Dynamical View of the Question of Why

Mehdi Fatemi, Sindhu Gowda

Comments Accepted at the Twelfth International Conference on Learning Representations (ICLR'24)

Understanding Certified Training with Interval Bound Propagation

Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin Vechev

Comments ICLR'24

Label-Noise Robust Diffusion Models

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

Comments Accepted at ICLR 2024

Scaling Supervised Local Learning with Augmented Auxiliary Networks

Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan

Comments Accepted by ICLR 2024

Efficient Backpropagation with Variance-Controlled Adaptive Sampling

Ziteng Wang, Jianfei Chen, Jun Zhu

Comments ICLR 2024

REFACTOR: Learning to Extract Theorems from Proofs

Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Grosse

Comments ICLR 2024

Federated Causal Discovery from Heterogeneous Data

Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang

Comments ICLR 2024

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts

Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su

Comments ICLR 2024 (Spotlight)

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier Hénaff, Zeynep Akata

Comments ICLR 2024 (spotlight)

Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain

Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail Kaiser, Suman Jana, Baishakhi Ray

Comments ICLR 2024

Vision-by-Language for Training-Free Compositional Image Retrieval

Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata

Comments ICLR 2024