ICLR 2024 Conference Submissions

Non-Parameterized Randomization for Environmental Generalization in Deep Reinforcement Learning
Yihan Li, Tianren Zhang, Jinsheng Ren, Ying Fang, Feng Chen
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AffineQuant: Affine Transformation Quantization for Large Language Models
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
- Published: 16 Jan 2024, Last Modified: 20 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Prototypical Influence Function for Fully Test-time Adaptation
Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ProtoNMF: Turning a Black Box into a Prototype Based Interpretable Model via Non-negative Matrix Factorization
Andong Tan, Hao Chen
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CIM: Constrained Intrinsic Motivation for Reinforcement Learning
Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Out-Of-Distribution Detection With Smooth Training
Jun Nie, Yonggang Zhang, Yadan Luo, Zhen Fang, Xiaofeng Cao, Xinmei Tian
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions
Cong Dao Tran, Thong Bach, Truong Son Hy
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues
Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Emergent Mixture-of-Experts: Can Dense Pre-trained Transformers Benefit from Emergent Modular Structures?
Zihan Qiu, Zeyu Huang, Jie Fu
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Conformal Risk Control
Anastasios Nikolas Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
- Published: 16 Jan 2024, Last Modified: 09 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Lookbehind Optimizer: k steps back, 1 step forward
Goncalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov, Arne Schneuing, Marwin Segler, Michael M. Bronstein, Bruno Correia
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Song Xia, Yi Yu, Xudong Jiang, Henghui Ding
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
In-context Exploration-Exploitation for Reinforcement Learning
Zhenwen Dai, Federico Tomasi, Sina Ghiassian
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Feature Accompaniment: Is It Feasible to Learn Out-of-Distribution Generalizable Representations with In-Distribution Data?
Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Out-of-Distribution Detection with Negative Prompts
Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
$\pi$2vec: Policy Representation with Successor Features
Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
Feng Lu, Lijun Zhang, Xiangyuan Lan, Shuting Dong, Yaowei Wang, Chun Yuan
- Published: 16 Jan 2024, Last Modified: 08 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Hierarchical Concept Discovery Models: A Concept Pyramid Scheme
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
- 19 Sept 2023 (modified: 30 Jan 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Uncertainty-Perception Tradeoff
Regev Cohen, Ehud Rivlin, Daniel Freedman
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multimodal Meta-learning of Implicit Neural Representations with Iterative Adaptation
Sehun Lee, Wonkwang Lee, Gunhee Kim
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improving Accelerated Federated Learning with Compression and Importance Sampling
Michał Grudzień, Grigory Malinovsky, Peter Richtárik
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Detailed 3D Face Reconstruction in Full Pose Range
Xinyu Li, Xitie Zhang, Suping Wu, Kehua Ma, Xiang Zhang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone