ICLR 2024 Conference Submissions

Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models
Song Guo, Jiahang Xu, Li Lyna Zhang, Mao Yang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
Chenguo Lin, Yadong MU
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction
Dongyang Liu, Meina Kan, Shiguang Shan, Xilin CHEN
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness
Yaohua Liu, Jiaxin Gao, Zhu Liu, Xianghao Jiao, Xin Fan, Risheng Liu
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
INRSTEG: FLEXIBLE CROSS-MODAL LARGE CAPACITY STEGANOGRAPHY VIA IMPLICIT REPRESENTATIONS
Seoyun Yang, Sojeong Song, Chang D. Yoo, Junmo Kim
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Single Motion Diffusion
Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit Haim Bermano, Daniel Cohen-Or
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Optimal Sample Complexity for Average Reward Markov Decision Processes
Shengbo Wang, Jose Blanchet, Peter Glynn
- Published: 16 Jan 2024, Last Modified: 09 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Skill-Conditioned Policy Optimization with Successor Features Representations
Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
- Published: 16 Jan 2024, Last Modified: 24 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Heterogeneous Domain Generalization for Single-Source Cross-Dataset Person ReID: An Adaptive Adversarial Augmentation Approach
Di Zhao, Gillian Dobbie, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Yun Sing Koh
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SEMANTIC RHEOLOGY: THE FLOW OF IDEAS IN LANGUAGE MODELS
Debayan Dasgupta
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
UniBoost: Boost Zero-shot Vision-Language Tasks via Multitask Fine-tuning with Unsupervised Unimodal Pre-training
Yanan SUN, Qi Fan, Zihan Zhong, Chi-Keung Tang, Yu-Wing Tai
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SimVAE: Narrowing the gap between Discriminative & Generative Self-Supervised Representation Learning
Alice Bizeul, Carl Allen
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AniHead: Efficient and Animatable 3D Head Avatars Generation
Shijie Zhang, Chengming Xu, Junwei Zhu, Xuelin Qian, Ying Tai, Yanwei Fu
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Representation Bottleneck of Graph Neural Networks for Scientific Problems
Fang Wu, Siyuan Li, Stan Z. Li
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deep Regression Representation Learning with Topology
Shihao Zhang, Angela Yao
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Split and Merge: Aligning Position Biases in Large Language Model based Evaluators
Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Tianxiang Li, Shuai Wang, Cuiyun Gao, Yang Liu
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models
Ishaan Singh Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NfgTransformer: Equivariant Representation Learning for Normal-form Games
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities
Hejia Geng, Boxun Xu, Peng Li
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
Aleksandar Petrov, Philip Torr, Adel Bibi
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
No learning rates needed: Introducing SaLSa - Stable Armijo Line Search Adaptation
Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone