ICLR 2025 Conference Submissions

Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori, Samuel Horváth, Martin Takáč
- 19 Sept 2024 (modified: 24 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Bayesian Policy Distillation via Offline RL for Lightweight and Fast Inference
Jangwon Kim, Yoonsu Jang, Jonghyeok Park, Yoonhee Gil, Soohee Han
- 19 Sept 2024 (modified: 13 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Hadamard Representations: Augmenting Hyperbolic Tangents in RL
Jacob Eeuwe Kooi, Mark Hoogendoorn, Vincent Francois-Lavet
- 19 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury, Alen Aliev, Peter Richtárik, Samuel Horváth, Martin Takáč
- Published: 22 Jan 2025, Last Modified: 03 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
DRL: DISCRIMINATIVE REPRESENTATION LEARNING FOR CLASS INCREMENTAL LEARNING
Jun Liu, Jiawei Zhan, Jinlong Peng, Xiaochen Chen, Bin-Bin Gao, Yong Liu, Wenjie Pei, Chengjie Wang
- 19 Sept 2024 (modified: 13 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli
- Published: 22 Jan 2025, Last Modified: 18 May 2025
- ICLR 2025 Spotlight
- Readers: Everyone
Scaling Laws for Diffusion Transformers
Zhengyang Liang, Hao He, Ceyuan Yang, Bo Dai
- 19 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan, Samuel Horváth, Martin Takáč, Karthik Nandakumar
- 19 Sept 2024 (modified: 03 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Unlocking the Theory Behind Scaling 1-Bit Neural Networks
Majid Daliri, Zhao Song, Chiwun Yang
- 19 Sept 2024 (modified: 03 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Noisy Data Pruning by Label Distribution Discrimination
Xiao Wei Wei, Ma Yi, Qiben Shan, Shaocong Wu, Jingyong Su
- 19 Sept 2024 (modified: 15 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
InsBank: Evolving Instruction Subset for Ongoing Alignment
Jiayi Shi, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Huan Ren, Yao Hu, Kan Li
- 19 Sept 2024 (modified: 08 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Spatiotemporal Contrast Are Natural Urban Scene Learners
Yong Li, Yingjing Huang, Fan Zhang
- 19 Sept 2024 (modified: 26 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Hierarchical Prompts with Context-aware Calibration for Open-Vocabulary Object Detection
Duorui Wang, Xiaowei Zhao, Yuqing Ma, Xianglong Liu, Zhiwan Fang, Chenjue Zhang
- 19 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation
Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji
- 19 Sept 2024 (modified: 20 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Minimax Optimal Reinforcement Learning with Quasi-Optimism
Harin Lee, Min-hwan Oh
- Published: 22 Jan 2025, Last Modified: 17 May 2025
- ICLR 2025 Poster
- Readers: Everyone
Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors
Peiran Xu, Yadong MU
- Published: 22 Jan 2025, Last Modified: 27 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Active Preference Optimization via Maximizing Learning Capacity
Seola Choi, Dongmin Park, Jaehyun Park, Jae-Gil Lee
- 19 Sept 2024 (modified: 19 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
houcheng su, Mengzhu Wang, Jiao Li, Bingli Wang, Yin Nan, Shanshan Wang, Zeheng Wang, Li Shen
- 19 Sept 2024 (modified: 12 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
SgCG: Semantic-guided Contrastive Generalization for Medical Image Segmentation
Mengzhu Wang, houcheng su, Zeheng Wang, Dianxi Shi, Meilin Zhang, Yin Nan, Jiao Li, Bingli Wang, Li Shen
- 19 Sept 2024 (modified: 12 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Safety Layers in Aligned Large Language Models: The Key to LLM Security
Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li
- Published: 22 Jan 2025, Last Modified: 19 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
ACE: Attack Combo Enhancement Against Machine Learning Models
Yugeng Liu, Zheng Li, Hai Huang, Michael Backes, Emiliano De Cristofaro, Yang Zhang
- 19 Sept 2024 (modified: 12 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
Zicheng Zhang, Ziheng Jia, Haoning Wu, Chunyi Li, Zijian Chen, Yingjie Zhou, Wei Sun, Xiaohong Liu, Xiongkuo Min, Weisi Lin, Guangtao Zhai
- 19 Sept 2024 (modified: 13 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Learning to Translate Noise for Robust Image Denoising
Inju Ha, Donghun Ryou, Seonguk Seo, Bohyung Han
- 19 Sept 2024 (modified: 15 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
UIP2P: Unsupervised Instruction-Based Image Editing via Cycle Edit Consistency
Enis Simsar, Yongqin Xian, Alessio Tonioni, Thomas Hofmann, Federico Tombari
- 19 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
What Makes a Good Time-series Forecasting Model? A Causal Perspective
Xingyu Zhang, Zeen Song, Siyu Zhao, Jingyao Wang, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
- 19 Sept 2024 (modified: 13 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone