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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)

Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021 Contrastive Learning for Compact Single Image Dehazing CVPR 2021 Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information EMNLP 2021 Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ACL 2021 Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary Diagnosis Interspeech 2021 Contrastive Learning of Image Representations With Cross-Video Cycle-Consistency ICCV 2021 Contrastive Learning with Adversarial Perturbations for Conditional Text Generation ICLR 2021 Contrastively Disentangled Sequential Variational Autoencoder NeurIPS 2021 Contrastive Neural Processes for Self-Supervised Learning ACML 2021 Contrastive Out-of-Distribution Detection for Pretrained Transformers EMNLP 2021 Contrastive Reinforcement Learning of Symbolic Reasoning Domains NeurIPS 2021 Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation EMNLP 2021 Contrastive Self-supervised Learning for Graph Classification AAAI 2021 Contrastive Transformation for Self-supervised Correspondence Learning AAAI 2021 Contrastive Triple Extraction with Generative Transformer AAAI 2021 ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning ACML 2021 Controllable Context-Aware Conversational Speech Synthesis Interspeech 2021 Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021 Controllable Image Restoration for Under-Display Camera in Smartphones CVPR 2021 Controllable Neural Dialogue Summarization with Personal Named Entity Planning EMNLP 2021 Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models EMNLP 2021 Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021 Controlling Machine Translation for Multiple Attributes with Additive Interventions EMNLP 2021 Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NeurIPS 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021