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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)

Continual Deep Learning by Functional Regularisation of Memorable Past NeurIPS 2020 Continual Learning for Natural Language Generation in Task-oriented Dialog Systems EMNLP 2020 Continual Learning in Low-rank Orthogonal Subspaces NeurIPS 2020 Continual Learning Long Short Term Memory EMNLP 2020 Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 Continuous Graph Neural Networks ICML 2020 ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection CVPR 2020 Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020 Contrastive Learning with Adversarial Examples NeurIPS 2020 Contrastive Self-Supervised Learning for Commonsense Reasoning ACL 2020 Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization AAAI 2020 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020 Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies EMNLP 2020 Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data EMNLP 2020 Controlling Neural Machine Translation Formality with Synthetic Supervision AAAI 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Conversational Document Prediction to Assist Customer Care Agents EMNLP 2020 Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks Interspeech 2020 Conversational Semantic Parsing EMNLP 2020 ConveRT: Efficient and Accurate Conversational Representations from Transformers EMNLP 2020 Convolutional Hierarchical Attention Network for Query-Focused Video Summarization AAAI 2020 Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis CVPR 2020 Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet Interspeech 2020 CookGAN: Meal Image Synthesis from Ingredients WACV 2020