Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'15
'20
'25
Papers (including subtopics)
Towards Backward-Compatible Continual Learning of Image Compression
CVPR 2024
Towards Better Inclusivity: A Diverse Tweet Corpus of English Varieties
EACL 2024
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient
ACL 2024
Towards Better Vision-Inspired Vision-Language Models
CVPR 2024
Towards Bounding Causal Effects under Markov Equivalence
UAI 2024
Towards Building a Language-Independent Speech Scoring Assessment
AAAI 2024
Towards Calibrated Losses for Adversarial Robust Reject Option Classification
ACML 2024
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
ICML 2024
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
ICLR 2024
Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory
Interspeech 2024
Towards Content Accessibility Through Lexical Simplification for Maltese as a Low-Resource Language
EACL 2024
Towards Context-Based Violence Detection: A Korean Crime Dialogue Dataset
EACL 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
AAAI 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
AISTATS 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective
AISTATS 2024
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
EMNLP 2024
Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning
CoNLL 2024
Towards Demonstration-Aware Large Language Models for Machine Translation
ACL 2024
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
EMNLP 2024
Towards Disfluency Annotated Corpora for Indian Languages
COLING 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
AAAI 2024
Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification
COLING 2024
Towards Domain-Aware Knowledge Distillation for Continual Model Generalization
WACV 2024
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
ICLR 2024