Machine Learning

Studying Sutton and Barto's RL book and its connections to RL for LLMs (e.g., tool use, math reasoning, agents, and so on)? [D]

Hi everyone, I graduated from a Master in Math program last summer. In recent months, I have been trying to understand more about ML/DL a...

AI: Anthropic's peek-a-boo of Claude Mythos, its next frontier model. AI-RTZ #1051

Meta debuts new AI model, attempting to catch Google, OpenAI after spending billions

[2511.22344] Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning

Abstract page for arXiv paper 2511.22344: Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning

[2410.20894] Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots

Abstract page for arXiv paper 2410.20894: Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Deto...

[2511.16992] FIRM: Federated In-client Regularized Multi-objective Alignment for Large Language Models

Abstract page for arXiv paper 2511.16992: FIRM: Federated In-client Regularized Multi-objective Alignment for Large Language Models

[2511.14961] Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based Inference

Abstract page for arXiv paper 2511.14961: Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based In...

[2603.25741] Vega: Learning to Drive with Natural Language Instructions

Abstract page for arXiv paper 2603.25741: Vega: Learning to Drive with Natural Language Instructions

[2510.13772] Tensor Gaussian Processes: Efficient Solvers for Nonlinear PDEs

Abstract page for arXiv paper 2510.13772: Tensor Gaussian Processes: Efficient Solvers for Nonlinear PDEs

[2603.25730] PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference

Abstract page for arXiv paper 2603.25730: PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference

[2510.12453] Time-Correlated Video Bridge Matching

Abstract page for arXiv paper 2510.12453: Time-Correlated Video Bridge Matching

[2510.06790] Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness

Abstract page for arXiv paper 2510.06790: Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness

[2510.04900] Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models

Abstract page for arXiv paper 2510.04900: Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Fore...

[2603.25716] Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models

Abstract page for arXiv paper 2603.25716: Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models

[2509.15199] CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness

Abstract page for arXiv paper 2509.15199: CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness

[2508.09223] Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation

Abstract page for arXiv paper 2508.09223: Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation

[2509.08617] Towards Interpretable Deep Neural Networks for Tabular Data

Abstract page for arXiv paper 2509.08617: Towards Interpretable Deep Neural Networks for Tabular Data

[2603.25697] The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase

Abstract page for arXiv paper 2603.25697: The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase

[2507.19737] Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning

Abstract page for arXiv paper 2507.19737: Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning

[2505.23004] QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining

Abstract page for arXiv paper 2505.23004: QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining

[2603.25646] A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

Abstract page for arXiv paper 2603.25646: A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

[2411.17501] The Limits of Inference Scaling Through Resampling

Abstract page for arXiv paper 2411.17501: The Limits of Inference Scaling Through Resampling

[2603.25613] Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

Abstract page for arXiv paper 2603.25613: Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verif...