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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)

Distribution Consistent Neural Architecture Search CVPR 2022 Distribution-Informed Neural Networks for Domain Adaptation Regression NeurIPS 2022 DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages EMNLP 2022 Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model ACL 2022 Diverse Weight Averaging for Out-of-Distribution Generalization NeurIPS 2022 Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022 Divert More Attention to Vision-Language Tracking NeurIPS 2022 Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents ACL 2022 Divide-and-Conquer Text Simplification by Scalable Data Enhancement EMNLP 2022 Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning NeurIPS 2022 Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification AAAI 2022 Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models ACL 2022 DLRG@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil using Multilingual Transformer Models ACL 2022 DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body NeurIPS 2022 DMix: Adaptive Distance-aware Interpolative Mixup ACL 2022 DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network AAAI 2022 DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents AAAI 2022 Docalog: Multi-document Dialogue System using Transformer-based Span Retrieval ACL 2022 DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents EMNLP 2022 DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection EMNLP 2022 DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation ACL 2022 Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning COLING 2022 Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation ACL 2022 Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation ACL 2022 Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS 2022