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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)

Universal Domain Adaptation CVPR 2019 University of Tartu’s Multilingual Multi-domain WMT19 News Translation Shared Task Submission ACL 2019 Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019 Unprocessing Images for Learned Raw Denoising CVPR 2019 Unraveling Antonym’s Word Vectors through a Siamese-like Network ACL 2019 Unsupervised 3D Pose Estimation With Geometric Self-Supervision CVPR 2019 Unsupervised 3D Reconstruction Networks ICCV 2019 Unsupervised Aspect-Based Multi-Document Abstractive Summarization EMNLP 2019 Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data AAAI 2019 Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation ACL 2019 Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations NeurIPS 2019 Unsupervised Compositional Translation of Multiword Expressions ACL 2019 Unsupervised Context Rewriting for Open Domain Conversation EMNLP 2019 Unsupervised Controllable Text Formalization AAAI 2019 Unsupervised Cross-Lingual Representation Learning ACL 2019 Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize AAAI 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning NeurIPS 2019 Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes CVPR 2019 Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network CVPR 2019 Unsupervised Domain Adaptation Based on Source-Guided Discrepancy AAAI 2019 Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations AAAI 2019 Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings EMNLP 2019 Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning CVPR 2019 Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling EMNLP 2019 Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss CVPR 2019