Papers
Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality
Sungyoon Kim, Aaron Mishkin, Mert Pilanci
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
Yifan Niu, Ziqi Gao, Tingyang Xu et al.
Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
Yuxuan Wu, Ziyu Wang, Bhiksha Raj et al.
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
Wonjeong Choi, Do-Yeon Kim, Jungwuk Park et al.
Discrete Copula Diffusion
Anji Liu, Oliver Broadrick, Mathias Niepert et al.
Strength Estimation and Human-Like Strength Adjustment in Games
Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu
On the Adversarial Vulnerability of Label-Free Test-Time Adaptation
Shahriar Rifat, Jonathan Ashdown, Michael J. De Lucia et al.
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Chen Chen, Daochang Liu, Mubarak Shah et al.
σ-zero: Gradient-based Optimization of ℓ_0-norm Adversarial Examples
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor et al.
Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
Costin-Andrei Oncescu, Sanket Purandare, Stratos Idreos et al.
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
Mengjing Wu, Junyu Xuan, Jie Lu
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
Yu Chen, Jiatai Huang, Yan Dai et al.
Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation
Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu et al.
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
Mingyuan Zhou, Huangjie Zheng, Yi Gu et al.
Exploring the Design Space of Visual Context Representation in Video MLLMs
Yifan Du, Yuqi Huo, Kun Zhou et al.
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
Ziwei Yang, Zheng Chen, Xin Liu et al.
Shallow diffusion networks provably learn hidden low-dimensional structure
Nicholas Matthew Boffi, Arthur Jacot, Stephen Tu et al.
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
Yaowen Ye, Cassidy Laidlaw, Jacob Steinhardt
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
Yingyu Lin, Yuxing Huang, Wenqin Liu et al.
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
Lawrence Keunho Jang, Yinheng Li, Dan Zhao et al.
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
Weibin Liao, Xu Chu, Yasha Wang
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Frank Zhengqing Wu, Berfin Simsek, François Gaston Ged
CBQ: Cross-Block Quantization for Large Language Models
Xin Ding, Xiaoyu Liu, Zhijun Tu et al.
Neural Causal Graph for Interpretable and Intervenable Classification
Jiawei Wang, Shaofei Lu, Da Cao et al.
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
Hojae Han, seung-won hwang, Rajhans Samdani et al.