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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)

Proactive Privacy-preserving Learning for Retrieval AAAI 2021 Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NeurIPS 2021 Probabilistic Model Distillation for Semantic Correspondence CVPR 2021 Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text ACL 2021 Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021 Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion EMNLP 2021 Progressive Coordinate Transforms for Monocular 3D Object Detection NeurIPS 2021 Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow CVPR 2021 Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences CVPR 2021 Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021 Progressive Network Grafting for Few-Shot Knowledge Distillation AAAI 2021 Progressive One-shot Human Parsing AAAI 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Progressive Self-Training with Discriminator for Aspect Term Extraction EMNLP 2021 Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021 Progressive Transformer-Based Generation of Radiology Reports EMNLP 2021 Progressive Unsupervised Learning for Visual Object Tracking CVPR 2021 Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation CVPR 2021 Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo) AAAI 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021 ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective EMNLP 2021 PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning ACL 2021 Protecting Gender and Identity with Disentangled Speech Representations Interspeech 2021