Topics
Results for “learning”
88 results
- Introducing Clairic, a new System One class of extraction models — 2 sources · Seen · 59 points
- Hybrid Reasoning Agents: 35–55% fewer tokens and up to 2.6× faster inference — 2 sources · Seen · 506 points
- tencent/Hy-Memory-30B-A3B — Hugging Face Models · Seen
- convaiinnovations/laya — Hugging Face Models · Seen
- OpenMobile-2: Building Versatile Mobile Agents with Scalable Environments and App-Native Tools — Hugging Face Papers · Seen · 41 points
- DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses — Hugging Face Papers · Seen · 14 points
- VisionHOPE: Visual Backbones as Self-Modifying Learning Systems — Hugging Face Papers · Seen · 221 points
- StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions — Hugging Face Papers · Seen · 20 points
- Self-Evolving Agent Harness — Hugging Face Papers · Seen · 199 points
- Player-1: Learning to Play from Synthetic Experience — Hugging Face Papers · Seen · 344 points
- PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training — Hugging Face Papers · Seen · 26 points
- ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration — Hugging Face Papers · Seen · 155 points
- MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing — Hugging Face Papers · Seen · 181 points
- YuE2: Unifying Symbolic and Audio Music Generation at Frontier Quality — Hugging Face Papers · Seen · 222 points
- Sharpa-Robotics/SharpaDex-v1.0 — Hugging Face Datasets · Seen
- bones-studio/seed — Hugging Face Datasets · Seen
- ZefanCai/Open-Jev — Hugging Face Datasets · Seen
- LocalLLaMA/typed-decisions — Hugging Face Datasets · Seen
- Developers can now access SageMaker Studio through the new AWS experience — AWS Machine Learning Blog · Seen
- Use Claude Code as an agentic tutor in your learning environment — Agent Use Cases · Seen
- 10 Prompting Techniques My Deep Learning Exam Taught Me (That I Actually Use Now) — DEV Community · Seen
- Memory Isn’t Learning: Why AI Agents Keep Making the Same Mistakes — DEV Community · Seen
- A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition — arXiv AI Papers · Seen
- Fast Construction of Inner Sphere Trees Using Machine Learning — arXiv AI Papers · Seen
- Beyond Prediction: A Component-Level Study of Concept Recovery in In-Context Learning — arXiv AI Papers · Seen
- miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning — arXiv AI Papers · Seen
- Improving Fake Profile Detection Through Multimodal Learning and Research-Guided Feature Integration — arXiv AI Papers · Seen
- Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMs — arXiv AI Papers · Seen
- EAGLE: Entropy-Aware Geometric Learning Enhancer for Partially Polygon-Supervised Object Localization — arXiv AI Papers · Seen
- RhinoNet: Unsupervised Learning for Phenoscaping and Generation of High Dimensional Point Clouds — arXiv AI Papers · Seen
- Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk — arXiv AI Papers · Seen
- Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes — Hugging Face Papers · Seen · 134 points
- Learning the Shared Latent Structure of Cryo-EM Inverse Problems — arXiv AI Papers · Seen
- Learning smooth dynamics via Kinematic Interpolants — arXiv AI Papers · Seen
- Learning User Representations to Improve Simulation Fidelity — arXiv AI Papers · Seen
- From Parallels to Divergence: Language Models' Learning of Action Nominal Constructions — arXiv AI Papers · Seen
- Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference — arXiv AI Papers · Seen
- BOLT: Multi-Bottleneck Bound-Guided Learning for Flexible Job-Shop Scheduling with Time Lags and Resource-Coupled Transport — arXiv AI Papers · Seen
- ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation — arXiv AI Papers · Seen
- Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation — arXiv AI Papers · Seen
- Binding-Specific Relearning Savings for Test-Time Continual Learning — arXiv AI Papers · Seen
- Cloudflare/clef — Hugging Face Models · Seen
- REMORY: Learning Residual Memory for Context Compaction — Hugging Face Papers · Seen · 164 points
- Jeva: System One Models from First Principles — Hugging Face Papers · Seen · 420 points
- mlabonne/llm-course — GitHub Trending · Seen
- MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe — Hugging Face Papers · Seen · 63 points
- More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning — Hugging Face Papers · Seen · 82 points
- The math that OpenAI keeps for itself — Hacker News · Seen · 52 points
- Mosaic: Multi-Session Agentic Reinforcement Learning — Hugging Face Papers · Seen · 54 points
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models — Hugging Face Papers · Seen · 319 points
- NVIDIA Expands Advanced Technology Access for Europe’s Scientific Community Through Open Learning Resources, Collaborations and Compute — NVIDIA Blog · Seen
- 2077AIDataFoundation/TouchScale — Hugging Face Datasets · Seen
- Putting Earth AI to work: Geospatial agents for our planet's biggest challenges — Google Research Blog · Seen
- Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech — arXiv AI Papers · Seen
- Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets — arXiv AI Papers · Seen
- On-Policy Residual Learning for Diffusion Language Models — arXiv AI Papers · Seen
- L2G-SR: Learning to Guide LLM-based Symbolic Regression — arXiv AI Papers · Seen
- Learning Topology-Aware Representations for Mechanics-Relevant TPMS Metamaterials — arXiv AI Papers · Seen
- Spectral Indistinguishability and Learning-Curve Identifiability in Quadratic Networks — arXiv AI Papers · Seen
- KNOU-Flood: Advancing global streamflow forecasting with lead-aware probabilistic machine learning — arXiv AI Papers · Seen