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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)

Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection CVPR 2022 Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) ICML 2022 Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion ACL 2022 Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval EMNLP 2022 Model-augmented Prioritized Experience Replay ICLR 2022 Model-Based Image Signal Processors via Learnable Dictionaries AAAI 2022 Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022 Model Distillation for Faithful Explanations of Medical Code Predictions ACL 2022 Modeling Adversarial Noise for Adversarial Training ICML 2022 Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation EMNLP 2022 Modeling Dual Read/Write Paths for Simultaneous Machine Translation ACL 2022 Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization ACL 2022 Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022 Modeling Multi-hop Question Answering as Single Sequence Prediction ACL 2022 Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens NAACL 2022 Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time ICML 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness NeurIPS 2022 Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets IJCAI 2022 MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition AAAI 2022 Modular and Parameter-Efficient Fine-Tuning for NLP Models EMNLP 2022 Modular and Parameter-Efficient Multimodal Fusion with Prompting ACL 2022 Modulated Contrast for Versatile Image Synthesis CVPR 2022 Module-Aware Optimization for Auxiliary Learning NeurIPS 2022 MogFace: Towards a Deeper Appreciation on Face Detection CVPR 2022 Molecular Contrastive Learning with Chemical Element Knowledge Graph AAAI 2022