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
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Papers (including subtopics)
TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
ACL 2024
To be Continuous, or to be Discrete, Those are Bits of Questions
ACL 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
NeurIPS 2024
Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter
EMNLP 2024
To Err Is Human, but Llamas Can Learn It Too
EMNLP 2024
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
ICLR 2024
TokenCompose: Text-to-Image Diffusion with Token-level Supervision
CVPR 2024
Tokenization Is More Than Compression
EMNLP 2024
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies
NAACL 2024
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
AAAI 2024
TokSing: Singing Voice Synthesis based on Discrete Tokens
Interspeech 2024
To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning
NeurIPS 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion
IJCAI 2024
ToMBench: Benchmarking Theory of Mind in Large Language Models
ACL 2024
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
CVPR 2024
Tool-Augmented Reward Modeling
ICLR 2024
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
EMNLP 2024
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option
EMNLP 2024
Tools Fail: Detecting Silent Errors in Faulty Tools
EMNLP 2024
Topic-Aware Causal Intervention for Counterfactual Detection
EMNLP 2024
Topic Detection and Tracking with Time-Aware Document Embeddings
COLING 2024
Topic Modeling as Multi-Objective Contrastive Optimization
ICLR 2024
Topic-Oriented Open Relation Extraction with A Priori Seed Generation
EMNLP 2024
TopoFR: A Closer Look at Topology Alignment on Face Recognition
NeurIPS 2024
TopoGCL: Topological Graph Contrastive Learning
AAAI 2024