Papers
Demystifying Foreground-Background Memorization in Diffusion Models
Jimmy Z. Di, Yiwei Lu, Yaoliang Yu et al.
Neural Tangent Kernels Under Stochastic Data Augmentation
Joshua DeOliveira, Sajal Chakroborty, Walter Gerych et al.
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability
Yao Deng, Xiang Xiang, Jiaqi Gui
InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference
Ruijun Deng, Zhihui Lu, Qiang Duan
Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond
Jiaxin Deng, Qingcheng Zhu, Junbiao Pang et al.
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting
Henggang Deng, Yuchao Tang, Wenjie Fu et al.
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies
Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz et al.
Statistically Robust Sparse High-order Interaction Model
Diptesh Das, Ichiro Takeuchi, Koji Tsuda
Correspondence Coverage Matters for Multi-Modal Dataset Distillation
Zhuohang Dang, Minnan Luo, Chengyou Jia et al.
Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction
Yahia Dalbah, Marcel Worring, Yen-Chia Hsu
MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents
Renke Dai, Hebin Hu, Jiahui Zhang et al.
Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer
Gaole Dai, Huatao Xu, Yifan Yang et al.
ShaLa: Multimodal Shared Latent Generative Modelling
Jiali Cui, Yan-Ying Chen, Yanxia Zhang et al.
Linear Time Algorithms for Individually Fair k-means via Multi-Swap Local Search
Beirong Cui, Qilong Feng, Junyu Huang
Causal Discovery from Interval-Based Event Sequences
Lénaïg Cornanguer, Joscha Cüppers, Jilles Vreeken
CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning
Shan Cong, Chao Yu, Xiangyuan Lan
Robust Watermarking on Gradient Boosting Decision Trees
Jun Woo Chung, Yingjie Lao, Weijie Zhao
Towards Robust Edge Model Adaptation via Elastic Architecture Search
Xianhang Chu, Xu Yang, Kun Wei et al.
Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
Koustav Chowdhury, Bibhabasu Mandal, Sourav De et al.
T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion
Abdul Monaf Chowdhury, Rabeya Akter, Safaeid Hossain Arib
LoGIC: Multi-LoRA Guided Importance Consensus for Multi-Task Pruning in Vision Transformers
Yu-Hong Chou, Rui Fang, Hsi-Wen Chen et al.
Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment
You Rim Choi, Subeom Park, Seojun Heo et al.
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
Yoonhyuk Choi, Jiho Choi, Taewook Ko et al.
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
Jeongwhan Choi, Seungjun Park, Sumin Park et al.