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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 Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya AAAI 2023 A Contrastive Approach to Online Change Point Detection AISTATS 2023 Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling Interspeech 2023 Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction ACL 2023 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation CVPR 2023 Action-Conditioned Generation of Bimanual Object Manipulation Sequences AAAI 2023 Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models NeurIPS 2023 Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization AAAI 2023 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023 Active Learning Principles for In-Context Learning with Large Language Models EMNLP 2023 ActMAD: Activation Matching To Align Distributions for Test-Time-Training CVPR 2023 Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023 ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought EMNLP 2023 Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning ACML 2023 AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning SemEval 2023 AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing ICCV 2023 AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023 Adaptation of Whisper models to child speech recognition Interspeech 2023 AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation EMNLP 2023 Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition Interspeech 2023 Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection AAAI 2023 Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning ICLR 2023 Adaptive Compositional Continual Meta-Learning ICML 2023 Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023