ICLR 2024 Conference Submissions

Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Yibing Liu, Chris XING TIAN, Haoliang Li, Lei Ma, Shiqi Wang
- Published: 16 Jan 2024, Last Modified: 20 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Optimal Noise Pursuit for Augmenting Text-to-Video Generation
Shijie Ma, Huayi Xu, Mengjian Li, Weidong Geng, Meng Wang, Yaxiong Wang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SSL Framework for Causal Inconsistency between Structures and Representations
Hang Chen, Xinyu Yang, Keqing Du
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
Dongsheng Jiang, Yuchen Liu, Songlin Liu, XIAOPENG ZHANG, Jin Li, Hongkai Xiong, Qi Tian
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ResFields: Residual Neural Fields for Spatiotemporal Signals
Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys, Siyu Tang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
Xiao Wang, Yuansen Zhang, Tianze Chen, Songyang Gao, Senjie Jin, Xianjun Yang, Zhiheng Xi, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
- Published: 16 Jan 2024, Last Modified: 10 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DeNAV: Decentralized Self-Supervised Learning with a Training Navigator
Xuanyu Chen, NAN YANG, Charles Z. Liu, Dong Yuan
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
AMMD: Attentive Maximum Mean Discrepancy for Few-Shot Image Classification
Ji Wu, Shipeng Wang, Jian Sun
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Progressive Fourier Neural Representation for Sequential Video Compilation
Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang D. Yoo
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LAMDA: Unified Language-Driven Multi-Task Domain Adaption
Wenwei Jin, Deyi Ji, Feng Zhao, Mingyuan Tao, Jieping Ye
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis
Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian L. Price, Dan Xu
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards the Universal Learning Principle for Graph Neural Networks
Foping Chen, Junhong Zhang, Guangfei Liang, Richard Yi Da Xu, Zhihui Lai
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
Tianlong Li, Wenhao Liu, Changze Lv, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen, Hao Su, Xiaolong Wang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
LIRE: Listwise Reward Enhancement for Preference Alignment
Mingye Zhu
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DySTreSS: Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna, Soumitri Chattopadhyay, Rakesh Dey, Saumik Bhattacharya, Umapada Pal
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Realistic Human Motion Generation with Cross-Diffusion Models
Zeping Ren, Shaoli Huang, Xiu Li
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A unified theory of scene representation learning and object representation learning
Takayuki Komatsu, Yoshiyuki Ohmura, Yasuo Kuniyoshi
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Simple Yet Effective Spatio-Temporal Prompt Learning
Qianru Zhang, Lianghao Xia, Zhonghang Li, Siu Ming Yiu, Chao Huang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, SHIXIANG TANG, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective
Zehao Dou, Yang Song
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone