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)
Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework
CVPR 2022
Use-Case-Grounded Simulations for Explanation Evaluation
NeurIPS 2022
User-Driven Research of Medical Note Generation Software
NAACL 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
NAACL 2022
Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems
JMLR 2022
Using Cross-Lingual Part of Speech Tagging for Partially Reconstructing the Classic Language Family Tree Model
ACL 2022
Using cross-model learnings for the Gram Vaani ASR Challenge 2022
Interspeech 2022
Using Data Augmentation and Consistency Regularization to Improve Semi-supervised Speech Recognition
Interspeech 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
NeurIPS 2022
Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection
COLING 2022
Using natural language and program abstractions to instill human inductive biases in machines
NeurIPS 2022
Using Natural Sentence Prompts for Understanding Biases in Language Models
NAACL 2022
Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models
AAAI 2022
Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract)
AAAI 2022
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
AAAI 2022
Using time-series privileged information for provably efficient learning of prediction models
AISTATS 2022
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy
EMNLP 2022
UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog
CVPR 2022
Utilizing Cross-Modal Contrastive Learning to Improve Item Categorization BERT Model
ACL 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
ICML 2022
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
EMNLP 2022
Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
EMNLP 2022
UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022
Interspeech 2022
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT
Interspeech 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries
AAAI 2022