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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Can We Reconstruct a Dysarthric Voice with the Large Speech Model Parler TTS? Interspeech 2025 Can we train ASR systems on Code-switch without real code-switch data? Case study for Singapore's languages Interspeech 2025 Capability Instruction Tuning AAAI 2025 CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025 CAPSTONE: Composable Attribute‐Prompted Scene Translation for Zero‐Shot Vision–Language Reasoning EMNLP 2025 Caption Generation in Cultural Heritage: Crowdsourced Data and Tuning Multimodal Large Language Models NAACL 2025 Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization EMNLP 2025 CAPTURE: Context-Aware Prompt Injection Testing and Robustness Enhancement ACL 2025 Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025 Capture the Key in Reasoning to Enhance CoT Distillation Generalization ACL 2025 Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units AAAI 2025 CareBot: A Pioneering Full-Process Open-Source Medical Language Model AAAI 2025 CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels MIDL 2025 CASP: Compression of Large Multimodal Models Based on Attention Sparsity CVPR 2025 CASP: Consistency-aware Audio-induced Saliency Prediction Model for Omnidirectional Video CVPR 2025 Castle: Causal Cascade Updates in Relational Databases with Large Language Models EMNLP 2025 CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging ICML 2025 Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection ACL 2025 Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning ICCV 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data MIDL 2025 Causal Representation Learning from General Environments under Nonparametric Mixing AISTATS 2025 CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models EMNLP 2025