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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
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'25

Papers (including subtopics)

Compact Speaker Embedding: lrx-Vector Interspeech 2020 Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification COLING 2020 Competing Speaker Count Estimation on the Fusion of the Spectral and Spatial Embedding Space Interspeech 2020 CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning ACL 2020 Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract) AAAI 2020 Composed Query Image Retrieval Using Locally Bounded Features CVPR 2020 Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020 Composing Elementary Discourse Units in Abstractive Summarization ACL 2020 Composing Good Shots by Exploiting Mutual Relations CVPR 2020 Compositional Demographic Word Embeddings EMNLP 2020 Compositional Generalization by Factorizing Alignment and Translation ACL 2020 Compositionality and Capacity in Emergent Languages ACL 2020 Compositionality and Generalization In Emergent Languages ACL 2020 Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020 Compositional languages emerge in a neural iterated learning model ICLR 2020 Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020 Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation ICML 2020 Compressive Transformers for Long-Range Sequence Modelling ICLR 2020 CompRess: Self-Supervised Learning by Compressing Representations NeurIPS 2020 CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020 Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations RSS 2020 ConceptBert: Concept-Aware Representation for Visual Question Answering EMNLP 2020 Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation ACL 2020 Conditional Channel Gated Networks for Task-Aware Continual Learning CVPR 2020 Conditional Response Augmentation for Dialogue Using Knowledge Distillation Interspeech 2020