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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)

Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders AAAI 2022 Learning Video Representations of Human Motion From Synthetic Data CVPR 2022 Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space NeurIPS 2022 Learning with Domain Knowledge to Develop Justifiable Convolutional Networks ACML 2022 Learning with Limited Text Data ACL 2022 Learning With Neighbor Consistency for Noisy Labels CVPR 2022 Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification CVPR 2022 Leashing the Inner Demons: Self-Detoxification for Language Models AAAI 2022 LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NeurIPS 2022 Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning NeurIPS 2022 Legal Named Entity Recognition with Multi-Task Domain Adaptation EMNLP 2022 Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models EMNLP 2022 LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training EMNLP 2022 Less-forgetting Multi-lingual Fine-tuning NeurIPS 2022 Less Is More: Generating Grounded Navigation Instructions From Landmarks CVPR 2022 Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis NeurIPS 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning ICML 2022 Letters From the Past: Modeling Historical Sound Change Through Diachronic Character Embeddings ACL 2022 Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022 Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy CVPR 2022 Leveraging Acoustic Contextual Representation by Audio-textual Cross-modal Learning for Conversational ASR Interspeech 2022 Leveraging Automated Unit Tests for Unsupervised Code Translation ICLR 2022 Leveraging Emotion-Specific features to improve Transformer performance for Emotion Classification ACL 2022 Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering EMNLP 2022 Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation Interspeech 2022