ICLR 2024 Conference Submissions

Linguistically-Inspired and Explainable Demonstration Retrieval for In-Context Learning
Jiali Cheng, Hadi Amiri
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Knowledge Fusion of Large Language Models
Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, Shuming Shi
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Double Momentum Method for Lower-Level Constrained Bilevel Optimization
Wanli Shi, Yi Chang, Bin Gu
- 21 Sept 2023 (modified: 16 Jun 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks
Chao Li, Zijie Guo, Qiuting He, Hao Xu, Kun He
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding and addressing spurious correlation via Neural Tangent Kernels: A spectral bias perspective
Yeat Jeng Ng, Ainhize Barrainkua, Novi Quadrianto
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
Margalit Glasgow
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
ISCUTE: Instance Segmentation of Cables Using Text Embedding
Omkar Joglekar, Shir Kozlovsky, Dotan Di Castro
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Huili Cai, Xiang Zhang, XIAOFENG LIU
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Boosting Meta-Training with Base Class Information for Few-Shot Learning
Weihao Jiang, Guodong Liu, Kun He
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss
Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro Porto Buarque de Gusmao, Nicholas Donald Lane
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Breadth First Exploration in Grid-based Reinforcement Learning
Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adiabatic replay for continual learning
Alexander Krawczyk, Alexander Gepperth
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
- Published: 16 Jan 2024, Last Modified: 05 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Designing Long-term Group Fair Policies in Dynamical Systems
Miriam Rateike, Isabel Valera, Patrick Forré
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
Jihun Kim, Dahyun Kim, Hyung Rok Jung, TaeIL Oh, Jonghyun Choi
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Optimized Large Language Models Accurately Identify Recurrence of VT After Ablation from Complex Medical Notes: Will Chart Review Become Obsolete?
Ruibin Feng
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
From Posterior Sampling to Meaningful Diversity in Image Restoration
Noa Cohen, Hila Manor, Yuval Bahat, Tomer Michaeli
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Neural Framework for Generalized Causal Sensitivity Analysis
Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
AMPipe: Accelerating MoE Model Training with Intra-Block Pipelining
Yichao Fu, Yuhao QING, Shixiong Zhao, Fanxin Li, Bocheng Xiao, Dong HUANG, Heming Cui
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Active Automated Machine Learning with Self-Training
Valentin Margraf, Julian Lienen, Eyke Hüllermeier, Marcel Wever
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph Clustering with Masked AutoEncoders
Yuanchi Ma, Hui He, Zhongxiang Lei, Zhendong Niu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning
Yizhao Jin, Gregory Slabaugh, Simon Lucas
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
OKR-Agent: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation
Yi Zheng, Haibin Huang, Chongyang Ma, Kanle Shi
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone