ICLR 2024 Conference Submissions

Synergistic Classification and Unknown Discrimination for Open Set Recognition
Daniel Brignac, Abhijit Mahalanobis
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Overcoming both Domain Shift and Label Shift for Referring Video Segmentation
Yan Xia, Hai Huang, Zhou Zhao, Jieming Zhu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Invariance as A Necessary Condition for Online Continual Learning
Yiduo Guo, Bing Liu, Dongyan Zhao
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TENSORIZED ATTENTION MODEL
Makoto Nakatsuji, Yasuhiro Fujiwara, Narichika Nomoto, Atsushi Fukayama
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning With Client Drift
Chia Hsiang Kao, Yu-Chiang Frank Wang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
Gunho Park, Baeseong park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
- Published: 16 Jan 2024, Last Modified: 01 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Dual Prompt Tuning for Domain-Aware Federated Learning
Guoyizhe Wei, Feng Wang, Anshul Shah, Rama Chellappa
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
D2T2: Decision Transformer with Temporal Difference via Steering Guidance
Hao-Lun Hsu, Juncheng Dong, Qitong Gao, Alper Kamil Bozkurt, Vahid Tarokh, Miroslav Pajic
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems
Xiang Ji, Huazheng Wang, Minshuo Chen, Tuo Zhao, Mengdi Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
Elan Rosenfeld, Andrej Risteski
- Published: 16 Jan 2024, Last Modified: 30 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models
Yiren Jian, Tingkai Liu, Yunzhe Tao, Soroush Vosoughi, Hongxia Yang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ALP: Action-Aware Embodied Learning for Perception
Xinran Liang, Anthony Han, Wilson Yan, Aditi Raghunathan, Pieter Abbeel
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Stable Anisotropic Regularization
William Rudman, Carsten Eickhoff
- Published: 16 Jan 2024, Last Modified: 04 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
On the Onset of Robust Overfitting in Adversarial Training
Chaojian Yu, Xiaolong Shi, Jun Yu, Bo Han, Tongliang Liu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Graph Representations in Normed Spaces
Diaaeldin Taha, Wei Zhao, J. Maxwell Riestenberg, Michael Strube
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh, Dongyoung Lim, Sungil Kim
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Qin ZHANG, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Jointly Training Large Autoregressive Multimodal Models
Emanuele Aiello, LILI YU, Yixin Nie, Armen Aghajanyan, Barlas Oguz
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Hexa: Self-Improving for Knowledge Augmented Dialogue System
Daejin Jo, Daniel Wontae Nam, Gunsoo Han, Kyoung-Woon On, Taehwan Kwon, Seungeun Rho, Sungwoong Kim
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin, Chaojian Yu, Bo Han, Tongliang Liu
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
PagFormer: Polar Accumulator Grid Integrated into Transformers for Medical Image Segmentation
Hang Zhang, Renjiu Hu, Rongguang Wang, Dongdong Liu, Gaolei Li
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Generative AI Paradox: “What It Can Create, It May Not Understand”
Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos
Fengrui Tian, Yueqi Duan, Angtian Wang, Jianfei Guo, Shaoyi Du
- Published: 16 Jan 2024, Last Modified: 08 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
The Closer, The Better: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Junghun Oh, Sungyong Baik, Kyoung Mu Lee
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone