ICLR 2024 Conference Submissions

Hierarchical Image Transformer Based on the Segment Anything Model
Christina Tao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Mitigating Accumulated Distribution Divergence in Batch Normalization for Unsupervised Domain Adaptation
Zhenghan Chen, Mengzhu Wang, Nan Yin, Ye Wang, Junyang Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Composite Backdoor Attacks Against Large Language Models
Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Optimistic Bayesian Optimization with Unknown Constraints
Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet
- Published: 16 Jan 2024, Last Modified: 26 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Enhanced Adversarial Domain Generation via Optimized Batch Normalization and Classifier
Zhenghan Chen, Nan Yin, Mengzhu Wang, Junyang Chen, Ye Wang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Keller Jordan
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Identifying Drivers of Predictive Uncertainty using Variance Feature Attribution
Pascal Iversen, Simon Witzke, Katharina Baum, Bernhard Y Renard
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Lyfe Agents: generative agents for low-cost real-time social interactions
Kaiya Ivy Zhao, Michelangelo Naim, Jovana Kondic, Manuel Ernesto Cortes, Jiaxin Ge, Shuying Luo, Guangyu Robert Yang, Andrew Ahn
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Circuit Component Reuse Across Tasks in Transformer Language Models
Jack Merullo, Carsten Eickhoff, Ellie Pavlick
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Fourier Ordinary Differential Equations
Muhao Guo, Yang Weng
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PhaseFusion: A Diffusion-based Periodic Parameterized Motion Generation Framework
Weilin Wan, Yiming Huang, Shutong Wu, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
NEURAL ADDITIVE TENSOR DECOMPOSITION FOR SPARSE TENSORS
Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Large Language Models to Enhance Bayesian Optimization
Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
- Published: 02 Feb 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Probing Innocuous Overfitting within Robust Linear Analytical Classifications
Zhenghan Chen, Mengzhu Wang, Nan Yin, Ye Wang, Junyang Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li, Ronen Basri, Yuval Kluger
- Published: 16 Jan 2024, Last Modified: 26 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha, Xiao Fu
- Published: 16 Jan 2024, Last Modified: 05 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Apollo: Zero-shot MultiModal Reasoning with Multiple Experts
Daniela Ben-David, Tzuf Paz-Argaman, Reut Tsarfaty
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Lie Neurons: A General Adjoint-Equivariant Neural Network for Semisimple Lie Algebras
Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Dynamics on Manifolds with Neural Ordinary Differential Equations
Muhao Guo, Haoran Li, Yang Weng
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis
- Published: 16 Jan 2024, Last Modified: 20 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks
Balint Csanady, Lóránt Nagy, Dávid Kovács, Daniel Boros, Ivan Ivkovic, Dalma Tóth-Lakits, Laszlo Markus, András Lukács
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Detecting Deepfakes Without Seeing Any
Tal Reiss, Bar Cavia, Yedid Hoshen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Effective Graph Representation Learning via Smoothed Contrastive Learning
Maysam Behmanesh, Maks Ovsjanikov
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone