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)
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
ACL 2024
Don't Judge by the Look: Towards Motion Coherent Video Representation
ICLR 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
NeurIPS 2024
Do Prompt Positions Really Matter?
NAACL 2024
DORY: Deliberative Prompt Recovery for LLM
ACL 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
NeurIPS 2024
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
ICLR 2024
Do *they* mean ‘us’? Interpreting Referring Expression variation under Intergroup Bias
EMNLP 2024
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition
EMNLP 2024
Double InfoGAN for Contrastive Analysis
AISTATS 2024
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning
AAAI 2024
Doubly Abductive Counterfactual Inference for Text-based Image Editing
CVPR 2024
Doubly Mild Generalization for Offline Reinforcement Learning
NeurIPS 2024
Doubly Perturbed Task Free Continual Learning
AAAI 2024
Doubly Robust Instance-Reweighted Adversarial Training
ICLR 2024
Do Vision and Language Encoders Represent the World Similarly?
CVPR 2024
Do Vision-Language Models Understand Compound Nouns?
NAACL 2024
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
EMNLP 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
EMNLP 2024
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
CVPR 2024
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection
AAAI 2024
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation
COLING 2024
DPPMask: Masked Image Modeling With Determinantal Point Processes
WACV 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
ICLR 2024
DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset
WACV 2024