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)

Searching for a Higher Power in the Human Evaluation of MT EMNLP 2022 Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition NeurIPS 2022 Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding MLHC 2022 Searching for fingerspelled content in American Sign Language ACL 2022 Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data IJCAI 2022 SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification AAAI 2022 Section-Aware Commonsense Knowledge-Grounded Dialogue Generation with Pre-trained Language Model COLING 2022 Section Classification in Clinical Notes with Multi-task Transformers EMNLP 2022 Seeded Hierarchical Clustering for Expert-Crafted Taxonomies EMNLP 2022 Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds NAACL 2022 SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition COLING 2022 SEEG: Semantic Energized Co-Speech Gesture Generation CVPR 2022 Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering NAACL 2022 Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems ACL 2022 SEER: Unsupervised and sample-efficient environment specialization of image descriptors RSS 2022 SeeTek: Very Large-Scale Open-Set Logo Recognition With Text-Aware Metric Learning WACV 2022 SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning WACV 2022 Segmentation-Consistent Probabilistic Lesion Counting MIDL 2022 Segmenting Numerical Substitution Ciphers EMNLP 2022 SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels IJCAI 2022 SelecMix: Debiased Learning by Contradicting-pair Sampling NeurIPS 2022 Selecting Optimal Context Sentences for Event-Event Relation Extraction AAAI 2022 Selecting Stickers in Open-Domain Dialogue through Multitask Learning ACL 2022 Selective Ensembles for Consistent Predictions ICLR 2022 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable JMLR 2022