ICLR 2024 Conference Submissions

ZeroNVS: Zero-shot 360-degree View Synthesis from a Single Real Image
Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TRAM: Benchmarking Temporal Reasoning for Large Language Models
Yuqing Wang, Yun Zhao
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Centroid- and Orientation-aware Feature Learning
Jaehoon Cha, Jinhae Park, Jeyan Thiyagalingam
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Machine Unlearning for Image-to-Image Generative Models
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Classification with Conceptual Safeguards
Hailey Joren, Charles Thomas Marx, Berk Ustun
- Published: 16 Jan 2024, Last Modified: 20 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Linear attention is (maybe) all you need (to understand Transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Ali Jadbabaie, Suvrit Sra
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Domain Generalization for Domain-Linked Classes
Kimathi Kaai, Saad Hossain, Sirisha Rambhatla
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks
Stefan Behfar, Jon Crowcroft
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, Xiao Yang
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Multilingual Mathematical Autoformalization
Albert Qiaochu Jiang, Wenda Li, Mateja Jamnik
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation Models
Shu Zhao, Huijuan Xu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
Minjun Sung, Sambhu Harimanas Karumanchi, Aditya Gahlawat, Naira Hovakimyan
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Multitask Image-to-Image Diffusion Models with Fine-Grained Control
Xu YAO, Alex Whelan, Hyeongwoo Kim, Pablo Garrido
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Estimating Fréchet bounds for validating programmatic weak supervision
Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Headless Language Models: Learning without Predicting with Contrastive Weight Tying
Nathan Godey, Éric Villemonte de la Clergerie, Benoît Sagot
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Cross-Task Gradient Harmonization for Meta-Learning
Siyuan Sun, Hongyang Gao
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Implicit Bias of Stochastic AdaGrad-Norm on Separable Data
Ruinan Jin, Wei Liu, Baoxiang Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Federated Learning with Differential Privacy for End-to-End Speech Recognition
Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Silovsky, Kunal Talwar, Tatiana Likhomanenko
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
Yining Jiao, Carlton Jude ZDANSKI, Julia S Kimbell, Andrew Prince, Cameron P Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Alexander Dunn, Jisan Mahmud, Marc Niethammer
- Published: 16 Jan 2024, Last Modified: 22 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Towards a statistical theory of data selection under weak supervision
Germain Kolossov, Andrea Montanari, Pulkit Tandon
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Learning Multi-Modal Representation Alignments from Noisy Data-Pairs
Qian Jiang, Jingjing Meng, Alireza Bagheri Garakani, Yang Jiao, Yetian Chen, Yikai Ni, Yan Gao, Yi Sun, Changyou Chen
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
EA2N: Evidence-based AMR Attention Network for Fake News Detection
Shubham Gupta, Abhishek Rajora, Suman Kundu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Emergence of Reproducibility and Consistency in Diffusion Models
Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Leveraging Optimization for Adaptive Attacks on Image Watermarks
Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone