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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)

DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue AAAI 2020 DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior CVPR 2020 DUNIT: Detection-Based Unsupervised Image-to-Image Translation CVPR 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NeurIPS 2020 Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification NeurIPS 2020 Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020 Dynamic Fluid Surface Reconstruction Using Deep Neural Network CVPR 2020 Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives CVPR 2020 Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020 Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020 Dynamic Motion Representation for Human Action Recognition WACV 2020 Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction CVPR 2020 Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation ACL 2020 Dynamic Refinement Network for Oriented and Densely Packed Object Detection CVPR 2020 Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020 Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection EMNLP 2020 Dynamic Traffic Modeling From Overhead Imagery CVPR 2020 Dysarthric Speech Recognition Based on Deep Metric Learning Interspeech 2020 E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT EMNLP 2020 ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification Interspeech 2020 ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020 EcoNAS: Finding Proxies for Economical Neural Architecture Search CVPR 2020 Editing in Style: Uncovering the Local Semantics of GANs CVPR 2020 Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks AAAI 2020 Effective distributed representations for academic expert search EMNLP 2020