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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)

Using noise to probe recurrent neural network structure and prune synapses NeurIPS 2020 Using Speaker-Aligned Graph Memory Block in Multimodally Attentive Emotion Recognition Network Interspeech 2020 Using the Poly-encoder for a COVID-19 Question Answering System EMNLP 2020 Using Visual Feature Space as a Pivot Across Languages EMNLP 2020 Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020 UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection NeurIPS 2020 Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020 Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020 Variational Neural Machine Translation with Normalizing Flows ACL 2020 Varicolored Image De-Hazing CVPR 2020 Vector-Based Attentive Pooling for Text-Independent Speaker Verification Interspeech 2020 Vector Quantization-Based Regularization for Autoencoders AAAI 2020 Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge Interspeech 2020 Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020 ViBE: Dressing for Diverse Body Shapes CVPR 2020 VIBE: Video Inference for Human Body Pose and Shape Estimation CVPR 2020 Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning EMNLP 2020 Video Object Grounding Using Semantic Roles in Language Description CVPR 2020 Video Panoptic Segmentation CVPR 2020 Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract) AAAI 2020 Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning CVPR 2020 Video to Events: Recycling Video Datasets for Event Cameras CVPR 2020 ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation CVPR 2020 ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT EMNLP 2020