Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Data driven semi-supervised learning NeurIPS 2021 Data-Driven System Level Synthesis L4DC 2021 Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective NeurIPS 2021 Data-Efficient Language Shaped Few-shot Image Classification EMNLP 2021 Data-Efficient Reinforcement Learning for Malaria Control IJCAI 2021 Data-Free Model Extraction CVPR 2021 Data-Free Universal Adversarial Perturbation and Black-Box Attack ICCV 2021 Data Processing Matters: SRPH-Konvergen AI’s Machine Translation System for WMT’21 EMNLP 2021 DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort CVPR 2021 Data-to-text Generation by Splicing Together Nearest Neighbors EMNLP 2021 Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection CVPR 2021 DATE: Detecting Anomalies in Text via Self-Supervision of Transformers NAACL 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions WACV 2021 DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network ICCV 2021 DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks ICCV 2021 DDSAS: Dynamic and Differentiable Space-Architecture Search ACML 2021 Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification NeurIPS 2021 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021 De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning WACV 2021 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NeurIPS 2021 Decentralized Learning in Online Queuing Systems NeurIPS 2021 Decentralized multi-agent active search for sparse signals UAI 2021