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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity ICML 2025 Nepali Transformers@NLU of Devanagari Script Languages 2025: Detection of Language, Hate Speech and Targets COLING 2025 NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction CVPR 2025 NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings EMNLP 2025 Nested Diffusion Models Using Hierarchical Latent Priors CVPR 2025 Nested Expectations with Kernel Quadrature ICML 2025 Nested Named Entity Recognition as Single-Pass Sequence Labeling EMNLP 2025 Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems ACL 2025 Nesterov acceleration in benignly non-convex landscapes ICLR 2025 Nesterov Method for Asynchronous Pipeline Parallel Optimization ICML 2025 NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls EMNLP 2025 NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models COLING 2025 NestQuant: nested lattice quantization for matrix products and LLMs ICML 2025 NeSyA: Neurosymbolic Automata IJCAI 2025 NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains ICLR 2025 NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization AAAI 2025 NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics ICLR 2025 NetMoE: Accelerating MoE Training through Dynamic Sample Placement ICLR 2025 NetSafe: Exploring the Topological Safety of Multi-agent System ACL 2025 NETS: A Non-equilibrium Transport Sampler ICML 2025 Network of acoustic characteristics for the automatic detection of suicide risk from speech. Contribution to the 2025 SpeechWellness challenge by the Semawave team Interspeech 2025 Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning ICML 2025 NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration IJCAI 2025 Neural Approximate Mirror Maps for Constrained Diffusion Models ICLR 2025 Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning ICCV 2025