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)

Domain Adaptation of Neural Machine Translation by Lexicon Induction ACL 2019 Domain Adaptation with BERT-based Domain Classification and Data Selection EMNLP 2019 Domain Adaptive Dialog Generation via Meta Learning ACL 2019 Domain Adaptive Text Style Transfer EMNLP 2019 Domain Agnostic Learning with Disentangled Representations ICML 2019 Domain-agnostic Question-Answering with Adversarial Training EMNLP 2019 Domain Agnostic Real-Valued Specificity Prediction AAAI 2019 Domain Generalization by Solving Jigsaw Puzzles CVPR 2019 Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR 2019 Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction NeurIPS 2019 Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ACL 2019 Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja EMNLP 2019 Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing EMNLP 2019 Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases EMNLP 2019 Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference ACL 2019 Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval CVPR 2019 Doris Martin at SemEval-2019 Task 4: Hyperpartisan News Detection with Generic Semi-supervised Features SemEval 2019 Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification EMNLP 2019 "Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors CVPR 2019 DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain ACL 2019 Doubly-Robust Lasso Bandit NeurIPS 2019 Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? EMNLP 2019 DppNet: Approximating Determinantal Point Processes with Deep Networks NeurIPS 2019 Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation ICCV 2019 Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations ACL 2019