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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)

A Teacher-Student Framework for Zero-Resource Neural Machine Translation ACL 2017 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin NeurIPS 2017 Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data CVPR 2017 Attention Based CLDNNs for Short-Duration Acoustic Scene Classification Interspeech 2017 Attention Strategies for Multi-Source Sequence-to-Sequence Learning ACL 2017 Attentive Path Combination for Knowledge Graph Completion ACML 2017 Audio Replay Attack Detection with Deep Learning Frameworks Interspeech 2017 A Unified Framework for Structured Prediction: From Theory to Practice EMNLP 2017 Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model NeurIPS 2017 Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval CVPR 2017 Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification CVPR 2017 Beyond Words: Deep Learning for Multiword Expressions and Collocations ACL 2017 Binaural Reverberant Speech Separation Based on Deep Neural Networks Interspeech 2017 Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification IJCNLP 2017 Boosting Neural Machine Translation IJCNLP 2017 Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars EMNLP 2017 BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks CVPR 2017 Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding ACL 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017 Building a Regular Decision Boundary With Deep Networks CVPR 2017 CAD2RL: Real Single-Image Flight Without a Single Real Image RSS 2017 CANE: Context-Aware Network Embedding for Relation Modeling ACL 2017 Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains ACL 2017 Captioning Images With Diverse Objects CVPR 2017 Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network EMNLP 2017