NeurIPS 2024 Conference Submissions

High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie, Xiaoming Huo
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
Zhibin Gu, Songhe Feng
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling
- Published: 25 Sept 2024, Last Modified: 14 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
Honglin Li, Yunlong Zhang, Pingyi Chen, Zhongyi Shui, Chenglu Zhu, Lin Yang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Improving Gloss-free Sign Language Translation by Reducing Representation Density
Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
- Published: 25 Sept 2024, Last Modified: 13 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu
- Published: 25 Sept 2024, Last Modified: 22 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
Yixiong Zou, Ran Ma, Yuhua Li, Ruixuan Li
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Decoupled Kullback-Leibler Divergence Loss
Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, XIAOJUAN QI, Bei Yu, Hanwang Zhang
- Published: 25 Sept 2024, Last Modified: 19 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
Zhu Yu, Runmin Zhang, Jiacheng Ying, Junchen Yu, Xiaohai Hu, Lun Luo, Si-Yuan Cao, Hui-liang Shen
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Many-Shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
William Qian, Jacob A Zavatone-Veth, Benjamin Samuel Ruben, Cengiz Pehlevan
- Published: 25 Sept 2024, Last Modified: 17 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
Siyi Gu, Minkai Xu, Alexander S Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Stepwise Alignment for Constrained Language Model Policy Optimization
Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Towards Flexible Visual Relationship Segmentation
Fangrui Zhu, Jianwei Yang, Huaizu Jiang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Implicit Optimization Bias of Next-token Prediction in Linear Models
Christos Thrampoulidis
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Proximal Causal Inference With Text Data
Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering
Zhongpai Gao, Benjamin Planche, Meng Zheng, Xiao Chen, Terrence Chen, Ziyan Wu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Nuclear Norm Regularization for Deep Learning
Christopher Scarvelis, Justin Solomon
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, Jun Chen
- Published: 25 Sept 2024, Last Modified: 14 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
Fawaz Sammani, Nikos Deligiannis
- Published: 25 Sept 2024, Last Modified: 10 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
Francisco M Castro-Macías, Pablo Morales-Alvarez, Yunan Wu, Rafael Molina, Aggelos Katsaggelos
- Published: 25 Sept 2024, Last Modified: 18 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone