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)
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
AAAI 2024
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
EMNLP 2024
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
ICML 2024
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences
COLING 2024
TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation
EMNLP 2024
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting
CVPR 2024
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
AAAI 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NeurIPS 2024
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
EMNLP 2024
Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
EMNLP 2024
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
NeurIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
NeurIPS 2024
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
NeurIPS 2024
Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting
NeurIPS 2024
Taming Self-Training for Open-Vocabulary Object Detection
CVPR 2024
Taming the Long Tail in Human Mobility Prediction
NeurIPS 2024
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
CVPR 2024
TAMS: Translation-Assisted Morphological Segmentation
ACL 2024
TAN-IBE Participation in the Shared Task: Translation into Low-Resource Languages of Spain
EMNLP 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
AAAI 2024
Targeted Multilingual Adaptation for Low-resource Language Families
EMNLP 2024
Targeted Representation Alignment for Open-World Semi-Supervised Learning
CVPR 2024
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
NeurIPS 2024
TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages
EACL 2024