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)
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation
IJCAI 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
AAAI 2024
Towards Editing Time Series
NeurIPS 2024
Towards Effective and General Graph Unlearning via Mutual Evolution
AAAI 2024
Towards Effective Planning Strategies for Dynamic Opinion Networks
NeurIPS 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
NeurIPS 2024
Towards Efficient Replay in Federated Incremental Learning
CVPR 2024
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
NeurIPS 2024
Towards EMG-to-Speech with Necklace Form Factor
Interspeech 2024
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
EMNLP 2024
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
ICLR 2024
Towards Evidential and Class Separable Open Set Object Detection
AAAI 2024
Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour
EMNLP 2024
Towards Expressive Zero-Shot Speech Synthesis with Hierarchical Prosody Modeling
Interspeech 2024
Towards Fairness-Aware Adversarial Learning
CVPR 2024
Towards Foundation Models for Knowledge Graph Reasoning
ICLR 2024
Towards generalisable and calibrated audio deepfake detection with self-supervised representations
Interspeech 2024
Towards Generalizable Multi-Object Tracking
CVPR 2024
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
IJCAI 2024
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
ICML 2024
Towards Generalizing to Unseen Domains with Few Labels
CVPR 2024
Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
NeurIPS 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection
NeurIPS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
NeurIPS 2024
Towards Human-AI Complementarity with Prediction Sets
NeurIPS 2024