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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)

Knowledge Distillation: A Good Teacher Is Patient and Consistent CVPR 2022 Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability CVPR 2022 Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search EMNLP 2022 Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning Interspeech 2022 Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation AAAI 2022 Knowledge Distillation from A Stronger Teacher NeurIPS 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NeurIPS 2022 Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks EMNLP 2022 Knowledge Distillation via Constrained Variational Inference AAAI 2022 Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer Interspeech 2022 Knowledge Distillation via the Target-Aware Transformer CVPR 2022 Knowledge Distillation With the Reused Teacher Classifier CVPR 2022 Knowledge Graph Generation From Text EMNLP 2022 Knowledge informed sustainability detection from short financial texts EMNLP 2022 Knowledge Inheritance for Pre-trained Language Models NAACL 2022 Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding EMNLP 2022 Knowledge-Rich Self-Supervision for Biomedical Entity Linking EMNLP 2022 Knowledge Sharing via Domain Adaptation in Customs Fraud Detection AAAI 2022 Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection EMNLP 2022 Knowledge Transfer and Distillation from Autoregressive to Non-Autoregessive Speech Recognition Interspeech 2022 Knowledge Transfer from Answer Ranking to Answer Generation EMNLP 2022 KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation NAACL 2022 KU X Upstage’s Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task EMNLP 2022 KYB General Machine Translation Systems for WMT22 EMNLP 2022 Label Anchored Contrastive Learning for Language Understanding NAACL 2022