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)
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition
ICCV 2023
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance
ICCV 2023
A law of adversarial risk, interpolation, and label noise
ICLR 2023
ALCAP: Alignment-Augmented Music Captioner
EMNLP 2023
ALCUNA: Large Language Models Meet New Knowledge
EMNLP 2023
A Learning Based Hypothesis Test for Harmful Covariate Shift
ICLR 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
NeurIPS 2023
Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist Text
SemEval 2023
Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait
SemEval 2023
Alex-U 2023 NLP at WojoodNER shared task: AraBINDER (Bi-encoder for Arabic Named Entity Recognition)
EMNLP 2023
Alfred: A System for Prompted Weak Supervision
ACL 2023
AlGhafa Evaluation Benchmark for Arabic Language Models
EMNLP 2023
Algorithmically Effective Differentially Private Synthetic Data
COLT 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
COLT 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
NeurIPS 2023
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
ICCV 2023
Aligned Diffusion Schrödinger Bridges
UAI 2023
Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning
ACL 2023
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
ACL 2023
Aligning Language Models to User Opinions
EMNLP 2023
Aligning Language Models with Human Preferences via a Bayesian Approach
NeurIPS 2023
Aligning Language Models with Preferences through f-divergence Minimization
ICML 2023
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
ACL 2023
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog
EMNLP 2023
Aligning Speech Enhancement for Improving Downstream Classification Performance
Interspeech 2023