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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)

Pseudo-Siamese Network based Timbre-reserved Black-box Adversarial Attack in Speaker Identification Interspeech 2023 PTUK-HULAT at ArAIEval Shared Task Fine-tuned Distilbert to Predict Disinformative Tweets EMNLP 2023 PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning NeurIPS 2023 PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023 PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets AAAI 2023 PUNR: Pre-training with User Behavior Modeling for News Recommendation EMNLP 2023 Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023 Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play ICLR 2023 Putting Natural in Natural Language Processing ACL 2023 pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe Interspeech 2023 QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering EMNLP 2023 QAID: Question Answering Inspired Few-shot Intent Detection ICLR 2023 Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023 Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue ACML 2023 QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation CVPR 2023 QTSumm: Query-Focused Summarization over Tabular Data EMNLP 2023 QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks NeurIPS 2023 QUADRo: Dataset and Models for QUestion-Answer Database Retrieval EMNLP 2023 Quality-Aware Pre-Trained Models for Blind Image Quality Assessment CVPR 2023 Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework NeurIPS 2023 Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs ICML 2023 Quantized Feature Distillation for Network Quantization AAAI 2023 Query-as-context Pre-training for Dense Passage Retrieval EMNLP 2023 Query-based Image Captioning from Multi-context 360cdegree Images EMNLP 2023 Query-Centric Trajectory Prediction CVPR 2023