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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)

Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019 Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NeurIPS 2019 Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal EMNLP 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variational Information Distillation for Knowledge Transfer CVPR 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Variational Pretraining for Semi-supervised Text Classification ACL 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 VC Classes are Adversarially Robustly Learnable, but Only Improperly COLT 2019 VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling EMNLP 2019 Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach CVPR 2019 VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild CVPR 2019 Very Deep Self-Attention Networks for End-to-End Speech Recognition Interspeech 2019 Video Action Transformer Network CVPR 2019 Video Object Detection with Locally-Weighted Deformable Neighbors AAAI 2019 Video Summarization by Learning From Unpaired Data CVPR 2019 View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019 Viewport Proposal CNN for 360deg Video Quality Assessment CVPR 2019 Violence Rating Prediction from Movie Scripts AAAI 2019 Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention CVPR 2019 VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis AAAI 2019 Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification CVPR 2019 Visual Concept-Metaconcept Learning NeurIPS 2019 Visualizing and Understanding the Effectiveness of BERT EMNLP 2019 Visualizing Trends of Key Roles in News Articles EMNLP 2019