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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)

DropoutNet: Addressing Cold Start in Recommender Systems NeurIPS 2017 DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output SemEval 2017 Dualing GANs NeurIPS 2017 Dual Track Multimodal Automatic Learning through Human-Robot Interaction IJCAI 2017 Duration Mismatch Compensation Using Four-Covariance Model and Deep Neural Network for Speaker Verification Interspeech 2017 Dynamic Data Selection for Neural Machine Translation EMNLP 2017 Dynamic Multi-Task Learning with Convolutional Neural Network IJCAI 2017 Dynamic Routing Between Capsules NeurIPS 2017 Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction EMNLP 2017 Effective search space reduction for spell correction using character neural embeddings EACL 2017 Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs Interspeech 2017 Efficient Knowledge Distillation from an Ensemble of Teachers Interspeech 2017 Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017 Elastic Shape-From-Template With Spatially Sparse Deforming Forces CVPR 2017 Embedding-Based Speaker Adaptive Training of Deep Neural Networks Interspeech 2017 Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols NeurIPS 2017 Emotional Voice Conversion with Adaptive Scales F0 Based on Wavelet Transform Using Limited Amount of Emotional Data Interspeech 2017 Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling EMNLP 2017 End-to-End Deep Learning Framework for Speech Paralinguistics Detection Based on Perception Aware Spectrum Interspeech 2017 End-to-end Differentiable Proving NeurIPS 2017 End-To-End Learning of Driving Models From Large-Scale Video Datasets CVPR 2017 End-to-end Network for Twitter Geolocation Prediction and Hashing IJCNLP 2017 End-to-end Neural Coreference Resolution EMNLP 2017 End-To-End Representation Learning for Correlation Filter Based Tracking CVPR 2017 Enhancing Video Summarization via Vision-Language Embedding CVPR 2017