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)
Diffusion Models Already Have A Semantic Latent Space
ICLR 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
NeurIPS 2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
IJCAI 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
ICCV 2023
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
NeurIPS 2023
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion
ACL 2023
DiffUTE: Universal Text Editing Diffusion Model
NeurIPS 2023
Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering
ACL 2023
Dimensionality Reduction for Machine Learning-based Argument Mining
EMNLP 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection
JMLR 2023
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
ICLR 2023
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships
ACL 2023
Dink-Net: Neural Clustering on Large Graphs
ICML 2023
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
NeurIPS 2023
DIP: Dead code Insertion based Black-box Attack for Programming Language Model
ACL 2023
DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment
EMNLP 2023
Directed Chain Generative Adversarial Networks
ICML 2023
Directional diffusion models for graph representation learning
NeurIPS 2023
Directional Speech Recognition for Speaker Disambiguation and Cross-talk Suppression
Interspeech 2023
Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023
ACL 2023
Direct Preference-based Policy Optimization without Reward Modeling
NeurIPS 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
ICLR 2023
Dirichlet Diffusion Score Model for Biological Sequence Generation
ICML 2023
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
NeurIPS 2023
Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora
ACL 2023