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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
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'15
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'25

Papers (including subtopics)

Structured agents for physical construction ICML 2019 Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks NeurIPS 2019 Structured and Sparse Annotations for Image Emotion Distribution Learning AAAI 2019 Structured Knowledge Distillation for Semantic Segmentation CVPR 2019 Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019 Structure Learning for Neural Module Networks EMNLP 2019 Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching CVPR 2019 Structuring Latent Spaces for Stylized Response Generation EMNLP 2019 Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More CVPR 2019 Studying Semantic Chain Shifts with Word2Vec: FOOD>MEAT>FLESH ACL 2019 Style Transfer by Relaxed Optimal Transport and Self-Similarity CVPR 2019 Subtask Gated Networks for Non-Intrusive Load Monitoring AAAI 2019 Summary Level Training of Sentence Rewriting for Abstractive Summarization EMNLP 2019 Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation EMNLP 2019 Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids CVPR 2019 Supervised Fitting of Geometric Primitives to 3D Point Clouds CVPR 2019 Supervised neural machine translation based on data augmentation and improved training & inference process EMNLP 2019 Supervised Policy Update for Deep Reinforcement Learning ICLR 2019 Supervising Unsupervised Open Information Extraction Models EMNLP 2019 Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models Interspeech 2019 Survey Talk: Multimodal Processing of Speech and Language Interspeech 2019 SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations SemEval 2019 Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language ACL 2019 Symmetry-Constrained Rectification Network for Scene Text Recognition ICCV 2019 Synchronously Generating Two Languages with Interactive Decoding EMNLP 2019