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)
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models
EMNLP 2024
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
ICLR 2024
TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education
ACL 2024
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning
NeurIPS 2024
Toward Conditional Distribution Calibration in Survival Prediction
NeurIPS 2024
Toward Efficient Inference for Mixture of Experts
NeurIPS 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
CVPR 2024
Toward More Generalized Malicious URL Detection Models
AAAI 2024
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
ECCV 2024
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
NeurIPS 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
AAAI 2024
Towards Accurate and Robust Architectures via Neural Architecture Search
CVPR 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL
AISTATS 2024
Towards Aligning Language Models with Textual Feedback
EMNLP 2024
Towards a More Burkean Approach to Computational Social Choice
AAAI 2024
Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora
EMNLP 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
NeurIPS 2024
Towards a Perceptual Evaluation Framework for Lighting Estimation
CVPR 2024
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
IJCAI 2024
Towards a Resilient Intelligent Automation System
IJCAI 2024
Towards a statistical theory of data selection under weak supervision
ICLR 2024
Towards a theory of how the structure of language is acquired by deep neural networks
NeurIPS 2024
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning
NAACL 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
NeurIPS 2024
Towards a Zero-Data, Controllable, Adaptive Dialog System
COLING 2024