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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Papers (including subtopics)
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
CVPR 2024
Temporal Validity Change Prediction
ACL 2024
TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation
AISTATS 2024
Testable Learning of General Halfspaces with Adversarial Label Noise
COLT 2024
Testable Learning with Distribution Shift
COLT 2024
Testing exchangeability by pairwise betting
AISTATS 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse
AISTATS 2024
Testing Semantic Importance via Betting
NeurIPS 2024
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
ICLR 2024
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
NeurIPS 2024
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration
AAAI 2024
Test-Time Dynamic Image Fusion
NeurIPS 2024
Test-Time Linear Out-of-Distribution Detection
CVPR 2024
Test-Time Personalization with Meta Prompt for Gaze Estimation
AAAI 2024
Test-Time Zero-Shot Temporal Action Localization
CVPR 2024
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
NeurIPS 2024
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
ACL 2024
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
EMNLP 2024
Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
CVPR 2024
Text2Model: Text-based Model Induction for Zero-shot Image Classification
EMNLP 2024
Text-Aware Diffusion for Policy Learning
NeurIPS 2024
Text-aware Speech Separation for Multi-talker Keyword Spotting
Interspeech 2024
Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning
AAAI 2024
Text Diffusion with Reinforced Conditioning
AAAI 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
ACL 2024