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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)

Concadia: Towards Image-Based Text Generation with a Purpose EMNLP 2022 Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems AAAI 2022 Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off NeurIPS 2022 Conditional GANs with Auxiliary Discriminative Classifier ICML 2022 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting AAAI 2022 Conditional Prompt Learning for Vision-Language Models CVPR 2022 Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval EMNLP 2022 ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes CVPR 2022 CoNeRF: Controllable Neural Radiance Fields CVPR 2022 Confidence-based Reliable Learning under Dual Noises NeurIPS 2022 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Confidence Propagation Cluster: Unleash Full Potential of Object Detectors CVPR 2022 CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning NAACL 2022 ConfounderGAN: Protecting Image Data Privacy with Causal Confounder NeurIPS 2022 ConGen: Unsupervised Control and Generalization Distillation For Sentence Representation EMNLP 2022 Con-NAT: Contrastive Non-autoregressive Neural Machine Translation EMNLP 2022 ConNER: Consistency Training for Cross-lingual Named Entity Recognition EMNLP 2022 ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition COLING 2022 ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction EMNLP 2022 Consecutive Question Generation via Dynamic Multitask Learning EMNLP 2022 Consistency Regularization for Adversarial Robustness AAAI 2022 Consistency Training with Virtual Adversarial Discrete Perturbation NAACL 2022 Consistent Representation Learning for Continual Relation Extraction ACL 2022 ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation EMNLP 2022 Constrained Contrastive Reinforcement Learning ACML 2022