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)
Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation
ACL 2024
Discerning Temporal Difference Learning
AAAI 2024
DisCo: Disentangled Control for Realistic Human Dance Generation
CVPR 2024
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
AAAI 2024
Discounted Adaptive Online Learning: Towards Better Regularization
ICML 2024
Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision
EACL 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
CVPR 2024
Discovering and Mitigating Visual Biases through Keyword Explanation
CVPR 2024
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
NeurIPS 2024
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
ICLR 2024
Discovering Heterogeneous Causal Effects in Relational Data
AAAI 2024
Discovering plasticity rules that organize and maintain neural circuits
NeurIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
NeurIPS 2024
Discovering Robotic Interaction Modes with Discrete Representation Learning
CoRL 2024
Discovering Sequential Patterns with Predictable Inter-event Delays
AAAI 2024
Discovering Syntactic Interaction Clues for Human-Object Interaction Detection
CVPR 2024
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition
AAAI 2024
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
AAAI 2024
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
NeurIPS 2024
Discrete Probabilistic Inference as Control in Multi-path Environments
UAI 2024
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding
Interspeech 2024
Discrete-state Continuous-time Diffusion for Graph Generation
NeurIPS 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
AAAI 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
CVPR 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
AISTATS 2024