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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Neurodyne: Neural Pitch Manipulation with Representation Learning and Cycle-Consistency GAN Interspeech 2025 Neuron-Level Sequential Editing for Large Language Models ACL 2025 Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning ICLR 2025 NeuroSpex+: Dual-Task Training of Neuro-Guided Speaker Extraction with Speech Envelope and Waveform Interspeech 2025 NextBestPath: Efficient 3D Mapping of Unseen Environments ICLR 2025 Next-Level Cantonese-to-Mandarin Translation: Fine-Tuning and Post-Processing with LLMs COLING 2025 NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation CVPR 2025 NightHaze: Nighttime Image Dehazing via Self-Prior Learning AAAI 2025 NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark AAAI 2025 NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025 NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training CVPR 2025 NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning EMNLP 2025 NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging EMNLP 2025 NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification AAAI 2025 NLIP at BEA 2025 Shared Task: Evaluation of Pedagogical Ability of AI Tutors ACL 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 NLPART at SemEval-2025 Task 4: Forgetting is harder than Learning SemEval 2025 NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion Detection SemEval 2025 NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models COLING 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 2025 NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning AAAI 2025 Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising CVPR 2025 Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory CVPR 2025 Noisy Correspondence Rectification via Asymmetric Similarity Learning AAAI 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching ICLR 2025