ICLR 2024 Conference Submissions

A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Large Language Models as Analogical Reasoners
Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
Rabia Gondur, Usama Bin Sikandar, Evan Schaffer, Mikio Christian Aoi, Stephen L Keeley
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Yuchen Hu, CHEN CHEN, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EngSiong Chng
- Published: 16 Jan 2024, Last Modified: 06 May 2024
- ICLR 2024 spotlight
- Readers: Everyone
POSITION EMBEDDING INTERPOLATION IS ALL YOU NEED FOR EFFICIENT IMAGE-TO-IMAGE VIT
Zhihua Chen, Xiankang Yu, Lei Dai, Lei Liang, Daqi Gao, Bin Sheng
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
TROJFSL: TROJAN INSERTION IN FEW SHOT PROMPT LEARNING
Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Multil-Level Multimodal Alignment with Knowledge-Guided Instance-Wise Discrimination
Hao Xu, Zhengyang Zhou, Pengyu Hong
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BCN: Batch Channel Normalization
Afifa Abduljabbar Qahtan Khaled, Chao Li, Kun He
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
What Makes ImageNet Look Unlike LAION
Ali Shirali, Moritz Hardt
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GPS-SSL: Guided Positive Sampling to Inject Prior into Self-Supervised Learning
Aarash Feizi, Randall Balestriero, Arantxa Casanova, Adriana Romero-Soriano, Reihaneh Rabbany
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Transferable Robust Representations for Few-shot Learning via Multi-view Consistency
Minseon Kim, Hyeonjeong Ha, Dong Bok Lee, Sung Ju Hwang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Multi-In-Single-Out Network for Video Frame Interpolation without optical flow
Jaemin Lee, Minseok Seo, Sangwoo Lee, Hyobin Park, Dong-Geol Choi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unsupervised Event Outlier Detection in Continuous Time
Somjit Nath, Yik Chau Lui, Siqi Liu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
Sungyoon Lee, Sokbae Lee
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Entropic Risk Measure for Robust Counterfactual Explanations
Erfaun Noorani, Faisal Hamman, Sanghamitra Dutta
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning to Model the World with Language
Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca Dragan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Annealing Self-Distillation Rectification Improves Adversarial Training
Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Symmetrization of Loss Functions for Robust Training of Neural Networks in the Presence of Noisy Labels and the Multi-class Unhinged Loss Function
Alexandre Lemire Paquin, Brahim Chaib-draa, Philippe Giguère
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Differentially Private Latent Diffusion Models
Saiyue Lyu, Margarita Vinaroz, Michael F Liu, Mijung Park
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Resource Efficient Test-Time Training with Slimmable Network
Lincan Cai, Shuang Li, Wenxuan Ma, Ling Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Weakly Supervised Monocular 3D Detection with a Single-View Image
Xueying Jiang, Sheng Jin, Lewei Lu, Shijian Lu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Incentivized Black-Box Model Sharing
Wenyang Hu, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone