ICLR 2024 Conference Submissions

Your CLIP Model Might Be Undertrained
Alaa Khaddaj, Hadi Salman, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to Plan and Generate Text with Citations
Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
POI-based Traffic Generation via Supervised Contrastive Learning on Reconstructed Graph
Su Ziyang, Zhanyu Liu, Guanjie Zheng
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space
Mahsa Mozafarinia, Salimeh Yasaei Sekeh
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Perceptual Scales Predicted by Fisher Information Metrics
Jonathan Vacher, Pascal Mamassian
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
Atli Kosson, Bettina Messmer, Martin Jaggi
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
Xueying Ding, Yue Zhao, Leman Akoglu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems
Ori Shem Ur, Yaron Oz
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Prompt-tuning Latent Diffusion Models for Inverse Problems
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Going beyond familiar features for deep anomaly detection
Sarath Sivaprasad, Mario Fritz
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Delve into Image Style Diffusion Towards Schrödinger Bridge Problem
Richard Jiang, YIJIE ZHU
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Reasoning-Enhanced Object-Centric Learning for Videos
Jian Li, Pu Ren, Qi Wang, Yang Liu, Hao Sun
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Language Model Inversion
John Xavier Morris, Wenting Zhao, Justin T Chiu, Vitaly Shmatikov, Alexander M Rush
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Democratizing Fine-grained Visual Recognition with Large Language Models
Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Intriguing Properties of Generative Classifiers
Priyank Jaini, Kevin Clark, Robert Geirhos
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally
Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AlpaGasus: Training a Better Alpaca with Fewer Data
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Learning then Leveraging Structures Help with Complex, Compositional, Causal Sequential Tasks in Inverse Reinforcement Learning
Raeid Saqur
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stylist: Style-Driven Feature Ranking for Robust Novelty Detection
Stefan Smeu, Elena Burceanu, Emanuela Haller, Andrei Liviu Nicolicioiu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
EntProp: High Entropy Propagation via Auxiliary Batch Normalization Layers
Shohei Enomoto
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
General Graph Random Features
Isaac Reid, Krzysztof Marcin Choromanski, Eli Berger, Adrian Weller
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Advancing Vision Transformers with Group-Mix Attention
Chongjian GE, Xiaohan Ding, Zhan Tong, Li Yuan, Jiangliu Wang, Yibing Song, Ping Luo
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LLM-Codebook for Extreme Compression of Large Language Models
Juncan Deng, Shuaiting Li, Chengxuan Wang, Hong Gu, Haibin Shen, Kejie Huang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone