ICLR 2024 Conference Submissions

Gated Attention Bins for Depth Estimation
Xidan Zhang, Jianing Wei, Zhiming Tan
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reinforcement Learning with Extreme Minimum Distribution
Yushu Zhang, Chun Shen, Junhong Wu, Daolong An, Shuai Lü
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Temporally Equivariant Contrastive Learning for Disease Progression
Taha Emre, Arunava Chakravarty, Dmitrii Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunović
- 20 Sept 2023 (modified: 22 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
EControl: Fast Distributed Optimization with Compression and Error Control
Yuan Gao, Rustem Islamov, Sebastian U Stich
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Convergence of Bayesian Bilevel Optimization
Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Pre-Training and Fine-Tuning Image Super-Resolution Models for Efficient Video Super-Resolution
Hao Tang, Ling Shao, Luc Van Gool
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field
Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su
- Published: 16 Jan 2024, Last Modified: 09 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Unified Concept-Based System for Local, Global, and Misclassification Explanations
Fatemeh Aghaeipoor, Dorsa Asgarian, Mohammad Sabokrou
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
BiTGNN: prediction of drug-target interactions based on bidirectional transformer and graph neural network on heterogeneous graph
Qingqian Zhang, Changxiang He, Xiaofei Qin, Peisheng Yang, Junyang Kong
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning
Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
State Representation Learning Using an Unbalanced Atlas
Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Retro-fallback: retrosynthetic planning in an uncertain world
Austin Tripp, Krzysztof Maziarz, Sarah Lewis, Marwin Segler, José Miguel Hernández-Lobato
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Branch-level Network Re-parameterization with Neural Substitution
Seungmin Oh, Jongbin Ryu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Multi-Fidelity NAS with Zero-Cost Proxy-Guided Local Search
Quan Minh Phan, Ngoc Hoang Luong
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
Guangchi Fang, Qingyong Hu, Longguang Wang, Yulan Guo
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Multi-label Learning with Random Circular Vectors
Ken Nishida, Katsuhiko Hayashi, Kojiro Machi, Hidetaka Kamigaito
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Equivariant Matrix Function Neural Networks
Ilyes Batatia, Lars Leon Schaaf, Gabor Csanyi, Christoph Ortner, Felix Andreas Faber
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Learning Graph Representation for Model Ensemble
Nassim Belmecheri, Youcef Djenouri, Philip S. Yu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Spatio-temporal Twins with A Cache for Modeling Long-term System Dynamics
Hao Wu, Kun Wang, Fan Xu, Yue Li, Xu Wang, Weiyan Wang, Haixin Wang, Xiao Luo
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
End-to-End Spatio-Temporal Action Localisation with Video Transformers
Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
Nathan Corecco, Giorgio Piatti, Luca A Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Optimal transport based adversarial patch to leverage large scale attack transferability
Pol Labarbarie, Adrien CHAN-HON-TONG, Stéphane Herbin, Milad Leyli-abadi
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
STUDY: Socially Aware Temporally Causal Decoder Recommender Systems
Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A Heller, Subhrajit Roy
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Can Agent Learn Robust Locomotion Skills without Modeling Environmental Observation Noise?
Yu Jin, Xing Chen, Xiaoqiang Yu, yang shengqi, Yue Han, Junnan Li, Peng Yan, Bohao Qu, haiyin piao
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone