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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 meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NeurIPS 2020 A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020 AMRL: Aggregated Memory For Reinforcement Learning ICLR 2020 A Multi-Hypothesis Approach to Color Constancy CVPR 2020 A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews ACL 2020 A Multi-Scale Approach for Graph Link Prediction AAAI 2020 A Multi-Scale Fusion Framework for Bimodal Speech Emotion Recognition Interspeech 2020 A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract) AAAI 2020 A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract) AAAI 2020 A Multi-task Learning Framework for Opinion Triplet Extraction EMNLP 2020 A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection CVPR 2020 A Mutual Information Maximization Perspective of Language Representation Learning ICLR 2020 An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics CVPR 2020 An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation AAAI 2020 Analogous Process Structure Induction for Sub-event Sequence Prediction EMNLP 2020 An Alternative to MFCCs for ASR Interspeech 2020 Analysing Lexical Semantic Change with Contextualised Word Representations ACL 2020 Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors WACV 2020 Analyzing analytical methods: The case of phonology in neural models of spoken language ACL 2020 Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020 An analytic theory of shallow networks dynamics for hinge loss classification NeurIPS 2020 An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020 An Attention-Based Graph Neural Network for Heterogeneous Structural Learning AAAI 2020 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits ICML 2020 An Effective Transition-based Model for Discontinuous NER ACL 2020