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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'10
'15
'20
'25
Papers (including subtopics)
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference
NeurIPS 2024
ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision
AAAI 2024
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
NeurIPS 2024
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
NeurIPS 2024
Z*: Zero-shot Style Transfer via Attention Reweighting
CVPR 2024
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
ACL 2024
(ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits
COLT 2024
k-Means Clustering with Distance-Based Privacy
NeurIPS 2023
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
ICLR 2023
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
NeurIPS 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
NeurIPS 2023
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
ICCV 2023
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition
EMNLP 2023
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
ICCV 2023
3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces
ICCV 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
ICCV 2023
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
CVPR 2023
3D Human Pose Estimation via Intuitive Physics
CVPR 2023
3D Indoor Instance Segmentation in an Open-World
NeurIPS 2023
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets
ICCV 2023
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
AAAI 2023
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders
Interspeech 2023
4M: Massively Multimodal Masked Modeling
NeurIPS 2023
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning
NeurIPS 2023
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI
AAAI 2023