ICLR 2024 Conference Submissions

PatchSynth: a Patch-Text Pre-trained Model
Xunzhu Tang, Zhenghan Chen, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DOS: Dreaming Outlier Semantics for Out-of-distribution Detection
Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Conformal Inductive Graph Neural Networks
Soroush H. Zargarbashi, Aleksandar Bojchevski
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
PB-LLM: Partially Binarized Large Language Models
Zhihang Yuan, Yuzhang Shang, Zhen Dong
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
PengFei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Liteformer: Lightweight Evoformer for Protein Structure Prediction
Ning Sun, Xingyi Cheng, Shentong Mo, Chiming Liu, Hui Li, Eric Xing, Le Song
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models
Yuyang Huang, Yabo Chen, Yuchen Liu, XIAOPENG ZHANG, Wenrui Dai, Hongkai Xiong, Qi Tian
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
David A. R. Robin, Kevin Scaman, Marc Lelarge
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient Gradient Estimation via Adaptive and Importance Sampling
corentin salaun, Xingchang Huang, Iliyan Georgiev, Niloy Mitra, Gurprit Singh
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Course Correcting Koopman Representations
Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Fran Jelenić, Josip Jukić, Martin Tutek, Mate Puljiz, Jan Snajder
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
PINF: Continuous Normalizing Flows for Physics-Constrained Deep Learning
Feng Liu, Faguo Wu, Xiao Zhang
- 21 Sept 2023 (modified: 12 May 2025)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Intelligent Switching for Reset-Free RL
Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, quanming yao, Bo Han
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fixed-Budget Differentially Private Best Arm Identification
Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Tan
- Published: 16 Jan 2024, Last Modified: 10 May 2024
- ICLR 2024 poster
- Readers: Everyone
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
On the Limitations of Temperature Scaling for Distributions with Overlaps
Muthu Chidambaram, Rong Ge
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Beyond Shortest-Paths: A Benchmark for Reinforcement Learning on Traffic Engineering
Andreas Boltres, Niklas Freymuth, Patrick Jahnke, Gerhard Neumann
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms
Sudeepta Mondal, Ganesh Sundaramoorthi
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints
Chuan Fang, Xiaotao Hu, Kunming Luo, Ping Tan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Simplicity Bias in Overparameterized Machine Learning
Yakir Berchenko
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Synthesis Via Meta-learning
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone