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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)

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs AAAI 2020 Abstract Rule Based Pattern Learning with Neural Networks AAAI 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020 Accelerating and Improving AlphaZero Using Population Based Training AAAI 2020 Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network CVPR 2020 Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network AAAI 2020 A Character-Centric Neural Model for Automated Story Generation AAAI 2020 Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020 A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings AAAI 2020 A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle ACL 2020 A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks ACL 2020 A Constraint-Based Approach to Learning and Explanation AAAI 2020 Acoustic Scene Analysis with Multi-Head Attention Networks Interspeech 2020 Acoustic Scene Classification Using Audio Tagging Interspeech 2020 Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation AAAI 2020 A Cross-Task Analysis of Text Span Representations ACL 2020 ActBERT: Learning Global-Local Video-Text Representations CVPR 2020 Actionable Ethics through Neural Learning AAAI 2020 ActionBytes: Learning From Trimmed Videos to Localize Actions CVPR 2020 Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract) AAAI 2020 Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation CVPR 2020 Action Segmentation with Mixed Temporal Domain Adaptation WACV 2020 Active Adversarial Domain Adaptation WACV 2020 Active Imitation Learning with Noisy Guidance ACL 2020 Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020