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
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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)
Density-invariant Features for Distant Point Cloud Registration
ICCV 2023
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
ACL 2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data
AISTATS 2023
DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification
ACL 2023
DePlot: One-shot visual language reasoning by plot-to-table translation
ACL 2023
Depth Estimation From Camera Image and mmWave Radar Point Cloud
CVPR 2023
Derandomized novelty detection with FDR control via conformal e-values
NeurIPS 2023
DesCo: Learning Object Recognition with Rich Language Descriptions
NeurIPS 2023
Described Object Detection: Liberating Object Detection with Flexible Expressions
NeurIPS 2023
Describe Me an Auklet: Generating Grounded Perceptual Category Descriptions
EMNLP 2023
Description and Analysis of ABC Submission to NIST LRE 2022
Interspeech 2023
Descriptive Knowledge Graph in Biomedical Domain
EMNLP 2023
Descriptive Prompt Paraphrasing for Target-Oriented Multimodal Sentiment Classification
EMNLP 2023
Designing Robust Transformers using Robust Kernel Density Estimation
NeurIPS 2023
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion
AAAI 2023
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
CVPR 2023
DETA: Denoised Task Adaptation for Few-Shot Learning
ICCV 2023
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment
CVPR 2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
ICML 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
ICML 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
ICML 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
IJCAI 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape
ACL 2023
Detecting and Grounding Multi-Modal Media Manipulation
CVPR 2023
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better
ACL 2023