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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'20
'25
Papers (including subtopics)
Towards Variable and Coordinated Holistic Co-Speech Motion Generation
CVPR 2024
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
ACL 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
EMNLP 2024
Toward the Modular Training of Controlled Paraphrase Adapters
EACL 2024
Toward Zero-Shot Instruction Following
EACL 2024
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models
EMNLP 2024
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
EMNLP 2024
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
EMNLP 2024
TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning
NeurIPS 2024
Traceable Federated Continual Learning
CVPR 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
NeurIPS 2024
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
IJCAI 2024
Traffic Scene Parsing through the TSP6K Dataset
CVPR 2024
Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization
EACL 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
NeurIPS 2024
Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora
EMNLP 2024
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data
NeurIPS 2024
Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection
WACV 2024
Training Compute-Optimal Protein Language Models
NeurIPS 2024
Training Data Attribution via Approximate Unrolling
NeurIPS 2024
Training Diffusion Models with Reinforcement Learning
ICLR 2024
Training Ensembles With Inliers and Outliers for Semi-Supervised Active Learning
WACV 2024
Training for Stable Explanation for Free
NeurIPS 2024
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
NeurIPS 2024