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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)

Differentiable Augmentation for Data-Efficient GAN Training NeurIPS 2020 Differentially Private Language Models Benefit from Public Pre-training EMNLP 2020 Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020 Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation CVPR 2020 Digital Voicing of Silent Speech EMNLP 2020 Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text EMNLP 2020 Dimsum @LaySumm 20 EMNLP 2020 Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading EMNLP 2020 Discontinuous Constituent Parsing as Sequence Labeling EMNLP 2020 Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event ACL 2020 Discourse Self-Attention for Discourse Element Identification in Argumentative Student Essays EMNLP 2020 Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation NeurIPS 2020 Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement AAAI 2020 Discovering the Compositional Structure of Vector Representations with Role Learning Networks EMNLP 2020 Discriminative Adversarial Domain Adaptation AAAI 2020 Discriminative and Robust Online Learning for Siamese Visual Tracking AAAI 2020 Discriminative Multi-Modality Speech Recognition CVPR 2020 Discriminative Sentence Modeling for Story Ending Prediction AAAI 2020 Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning CVPR 2020 Disentangled Image Generation Through Structured Noise Injection CVPR 2020 Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020 Disentangling by Subspace Diffusion NeurIPS 2020 Disentangling Human Error from Ground Truth in Segmentation of Medical Images NeurIPS 2020 Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction CVPR 2020 Disparity-Aware Domain Adaptation in Stereo Image Restoration CVPR 2020