ICLR 2024 Conference Submissions

PolyVoice: Language Models for Speech to Speech Translation
Qian qian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, yunlong zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun MA, Yuping Wang, Mingxuan Wang, Yuxuan Wang
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Adversarial Feature Map Pruning for Backdoor
Dong HUANG, Qingwen Bu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Tube Loss: A Novel Approach for High Quality Prediction Interval Estimation
Pritam Anand, Tathagata Bandyopadhyay, Harshkumar Mukeshbhai Savaliya, Suresh Chandra
- 23 Sept 2023 (modified: 02 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Expressivity of ReLU-Networks under Convex Relaxations
Maximilian Baader, Mark Niklas Mueller, Yuhao Mao, Martin Vechev
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
Xinyang Lu, Jingtan Wang, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to Select In-context Examples from Reward
Ji Li, Yikang Shen, Shun Zhang, Chuang Gan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Learning Latent Causal Semantics from Text: An Empirical Study of Next-Token Predictors Trained on Programs
Charles Jin, Martin Rinard
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
CLEX: Continuous Length Extrapolation for Large Language Models
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
- Published: 16 Jan 2024, Last Modified: 24 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging
Wenju Sun, Qingyong Li, Wen Wang, Yangliao Geng
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Symbolic Interactions for Interpretable State-Space Modeling
Wen Dong
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Geometric Perspective on Diffusion Models
Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Duality of Information Flow: Insights in Graphical Models and Neural Networks
Wen Dong
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts
Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Object-level Data Augmentation for Visual 3D Object Detection in Autonomous Driving
Haoran Cheng, Junkai Xu, Liang Peng, Qi Zhou, Linxuan Xia, Boxi Wu, Xiaofei He
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SEEKING THE SEARCH SPACE FOR SIZE-AWARE VISION TRANSFORMER ARCHITECTURE
Chih-Han Tsou, Yu-Chen Lin, Yi Cheng Huang, WeiHua Li, Jun-Cheng Chen, Chu-Song Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Leveraging Print Debugging to Improve Code Generation in Large Language Models
Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Robert Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David J. Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Quality Control at Your Fingertips: Quality-Aware Translation Models
Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
zaishuo xia, Han Yang, Binghui Wang, Jinyuan Jia
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Learning HJB Viscosity Solutions with PINNs for Continuous-Time Reinforcement Learning
Alena SHILOVA, Thomas Delliaux, Philippe Preux, Bruno Raffin
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting
Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Active Question Learning: learning a partial annotation policy in hierarchical label spaces
Ignacio Laurenty, Sanjeel Parekh, Ekhine Irurozki, Florence d'Alché-Buc
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Imagine Within Practice: Conservative Rollout Length Adaptation for Model-Based Reinforcement Learning
Long Qian, Ziru Wang, Zeyang Liu, Zhuoran Chen, Zechen Shi, Xuguang Lan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone