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575,626 papers

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests

Dimitri Staufer

2025-07-15Memorization
Paper
Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications

Dimitrios Kritsiolis, Constantine Kotropoulos

2025-07-15QuantizationFederated Learning
Paper
Generative Click-through Rate Prediction with Applications to Search Advertising

Lingwei Kong, Lu Wang, Changping Peng, Zhangang Lin, Ching Law et al.

2025-07-15Click-Through Rate PredictionPrediction
Paper
A Risk-Aware Adaptive Robust MPC with Learned Uncertainty Quantification

Mingcong Li

2025-07-15Uncertainty QuantificationActive Learning
Paper
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data

Harsha Varun Marisetty, Manik Gupta, Yogesh Simmhan

2025-07-15Weather ForecastingFederated LearningTime Series
Paper
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Tomek Korbak, Mikita Balesni, Elizabeth Barnes, Yoshua Bengio, Joe Benton et al.

2025-07-15
Paper
Elk: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques

Yiqi Liu, Yuqi Xue, Noelle Crawford, Jilong Xue, Jian Huang et al.

2025-07-15Scheduling
Paper
Canonical Bayesian Linear System Identification

Andrey Bryutkin, Matthew E. Levine, Iñigo Urteaga, Youssef Marzouk

2025-07-15
Paper
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning

James P Jun, Vijay Marupudi, Raj Sanjay Shah, Sashank Varma

2025-07-15Continual Learning
Paper
FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning

Arnab Mukherjee, Raju Halder, Joydeep Chandra

2025-07-15BenchmarkingFederated Learning
PaperCode
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning

George D. Pasparakis, Ioannis A. Kougioumtzoglou, Michael D. Shields

2025-07-15Uncertainty QuantificationDictionary Learning
Paper
Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation

Zhen Xu, HongYu Zhou, Sida Peng, Haotong Lin, Haoyu Guo et al.

2025-07-15Zero-shot GeneralizationAutonomous Driving3D Reconstruction+1
Paper
AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air

Shiyi Yang, Xiaoxue Yu, Rongpeng Li, Jianhang Zhu, Zhifeng Zhao et al.

2025-07-15DenoisingSequential Decision Making
Paper
Joint angle model based learning to refine kinematic human pose estimation

Chang Peng, Yifei Zhou, Huifeng Xi, Shiqing Huang, Chuangye Chen et al.

2025-07-15Pose Estimation
Paper
GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft

Weizhao Ma, Dong Zhou, Yuhui Hu, Zipeng He

2025-07-15Pose EstimationKeypoint Detection
PaperCode
Guiding LLM Decision-Making with Fairness Reward Models

Zara Hall, Melanie Subbiah, Thomas P Zollo, Kathleen McKeown, Richard Zemel et al.

2025-07-15FairnessDecision Making
PaperCode
Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning

Daniel Tanneberg

2025-07-15Policy Gradient MethodsReinforcement Learningreinforcement-learning
Paper
Better Regret Rates in Bilateral Trade via Sublinear Budget Violation

Anna Lunghi, Matteo Castiglioni, Alberto Marchesi

2025-07-15
Paper
Langevin Flows for Modeling Neural Latent Dynamics

Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling et al.

2025-07-15
PaperCode
Diffusion Decoding for Peptide De Novo Sequencing

Chi-en Amy Tai, Alexander Wong

2025-07-15
Paper
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