ICLR 2024 Conference Submissions

Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
Ruijie Xu, Chuyu Zhang, Hui Ren, Xuming He
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Data-independent Module-aware Pruning for Hierarchical Vision Transformers
Yang He, Joey Tianyi Zhou
- Published: 16 Jan 2024, Last Modified: 23 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DBRNet: Advancing Individual-Level Continuous Treatment Estimation through Disentangled and Balanced Representation
Mengxuan Hu, Zhixuan Chu, Sheng Li
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LeCO-NeRF: Learning Compact Occupancy for Large-scale Neural Radiance Fields
Zhenxing Mi, Dan Xu
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multisize Dataset Condensation
Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor Tsang
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Implicit Reinforcement Learning Properties in Supervised Transformer-based Object Detection
Chong-Heng Weng, Jun Wei Hsieh, Yuming Zhang, Chun-Chieh Lee, Kuo-Chin Fan
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Novel Approach For Adversarial Robustness
Jing Wang, Liang Cao, Guanrong Li
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
Zheng Wang, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, Philip S. Yu
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Proactive Learning: Search-augmented learning using Pre-trained Models
Hamed Damirchi, Cristian Rodriguez, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Anton van den Hengel, Stephen Gould
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Efficient Offline Preference-Based Reinforcement Learning with Transition-Dependent Discounting
Jin Zhang, Hao Hu, Yiqin Yang, Bo Liu, Yang Gao, Chongjie Zhang
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Backdiff: a diffusion model for generalized transferable protein backmapping
Yikai Liu, Guang Lin, Ming Chen
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, Gang Zeng
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
To Simulate Neural Organoid: A Framework and A Benchmark based on AI
Jingjie Shang, Haorui Zheng, Chengyi Zhang, Jian Cao, Liqun Chen, Xiaochen Bo, Yuan Wang
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mini-batch Submodular Maximization
Gregory Schwartzman
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
APD: Boosting Adversarial Transferability via Perturbation Dropout
Zongqi Wang, Wenchao Xu, Haozhao Wang, Nan Cheng
- 17 Sept 2023 (modified: 20 Dec 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Why do Features of Multi-Layer Perceptrons Condense in Training?
Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Huiqi Deng, Wenming Tan, Quanshi Zhang
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Wen Wu, Wenlin Chen, Chao Zhang, Phil Woodland
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Benchmarking Large Language Models as AI Research Agents
Qian Huang, Jian Vora, Percy Liang, Jure Leskovec
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Simplifying and Stabilizing Model Selection in Unsupervised Domain Adaptation
Dapeng Hu, Mi Luo, Jian Liang, Chuan-Sheng Foo
- 17 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun, Zhuang Liu, Anna Bair, J Zico Kolter
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Agent-Centric State Discovery for Finite-Memory POMDPs
Lili Wu, Ben Evans, Riashat Islam, Raihan Seraj, Yonathan Efroni, Alex Lamb
- 17 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi, Gal Vardi, Nathan Srebro
- Published: 16 Jan 2024, Last Modified: 21 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model
Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone