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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)

Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020 EMNLP 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020 Nested Scale-Editing for Conditional Image Synthesis CVPR 2020 NestedVAE: Isolating Common Factors via Weak Supervision CVPR 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence ACML 2020 NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative EMNLP 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 Neural Architecture Search for Lightweight Non-Local Networks CVPR 2020 Neural Blind Deconvolution Using Deep Priors CVPR 2020 Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data CVPR 2020 Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence ACL 2020 Neural-DINF: A Neural Network based Framework for Measuring Document Influence ACL 2020 Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network EMNLP 2020 Neural Head Reenactment with Latent Pose Descriptors CVPR 2020 Neural Implicit Embedding for Point Cloud Analysis CVPR 2020 Neural Kernels Without Tangents ICML 2020 Neural Machine Translation for Similar Languages: The Case of Indo-Aryan Languages EMNLP 2020 Neural Machine Translation with Byte-Level Subwords AAAI 2020 Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation EMNLP 2020 Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning NeurIPS 2020 Neural Question Generation with Answer Pivot AAAI 2020 Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning AAAI 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020