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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 Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation? ACL 2026 Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts ACL 2026 Capacity and Redundancy Trade-offs in Multi-Task Learning UAI 2026 CAP: Controllable Alignment Prompting for Unlearning in LLMs ACL 2026 CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment CVPR 2026 Capturing Classic Authorial Style in Long-Form Story Generation with GRPO Fine-Tuning CoNLL 2026 Caraman at SemEval-2026 Task 8: Three-Stage Multi-Turn Retrieval with Query Rewriting, Hybrid Search, and Cross-Encoder Reranking SemEval 2026 CARLoS: Retrieval via Concise Assessment Representation of LoRAs at Scale CVPR 2026 CascadeNet: Generating Network Traffic with High-Fidelity Temporal Patterns NSDI 2026 CASPA: Graph-Structured Concept Anchors for Modality-Agnostic Adaptation in Vision-Language Models CVPR 2026 CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness CVPR 2026 CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models ACL 2026 CausalMinds at SemEval-2026 Task 12: Simple Fine-Tuning with Option Shuffling Outperforms Complex Pipelines for Abductive Event Reasoning SemEval 2026 CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection CVPR 2026 CCNU at SemEval-2026 Task 10: Conspiracy Marker Extraction and Detection via Multi-task Learning and LLM-based Data Augmentation SemEval 2026 CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection CVPR 2026 CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning ACL 2026 Certified Robust Invariant Polytope Training in Neural Controlled ODEs L4DC 2026 CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance CVPR 2026 CF-IPT: Cross-Modal Fusion Interactive Prompt Tuning of Vision-Language Pre-Trained Model for Multisource Remote Sensing Data Classification CVPR 2026 Chain of Event-Centric Causal Thought for Physically Plausible Video Generation CVPR 2026 Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning CVPR 2026 Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language Models ACL 2026 Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring ACL 2026 Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs ACL 2026