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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

DM2C: Deep Mixed-Modal Clustering NeurIPS 2019 DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition CVPR 2019 D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension EMNLP 2019 Do Better ImageNet Models Transfer Better? CVPR 2019 Do Deep Generative Models Know What They Don't Know? ICLR 2019 Does Learning Specific Features for Related Parts Help Human Pose Estimation? CVPR 2019 Domain Adaptation of Neural Machine Translation by Lexicon Induction ACL 2019 Domain Adaptation of SRL Systems for Biological Processes 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 Question-Answering with Adversarial Training EMNLP 2019 Domain Generalization by Solving Jigsaw Puzzles CVPR 2019 Domain Generalization via Multidomain Discriminant Analysis UAI 2019 Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification EMNLP 2019 Domain-Specific Batch Normalization for Unsupervised Domain Adaptation CVPR 2019 Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR 2019 DOM-Q-NET: Grounded RL on Structured Language ICLR 2019 Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019 Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction EMNLP 2019 Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja EMNLP 2019 Don't let your Discriminator be fooled ICLR 2019 Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases 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