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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)

PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings EMNLP 2020 PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models CVPR 2020 Pushing the Limits of AMR Parsing with Self-Learning EMNLP 2020 Putting Visual Object Recognition in Context CVPR 2020 Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup ICML 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 PyMT5: multi-mode translation of natural language and Python code with transformers EMNLP 2020 QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020 Quantifying Intimacy in Language EMNLP 2020 Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning NeurIPS 2020 Quantifying the Contextualization of Word Representations with Semantic Class Probing EMNLP 2020 Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020 QuASE: Question-Answer Driven Sentence Encoding ACL 2020 Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings ICLR 2020 Query-Driven Multi-Instance Learning AAAI 2020 Question Answering with Long Multiple-Span Answers EMNLP 2020 R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features AAAI 2020 Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ACL 2020 Random Erasing Data Augmentation AAAI 2020 RANet: Region Attention Network for Semantic Segmentation NeurIPS 2020 RankMI: A Mutual Information Maximizing Ranking Loss CVPR 2020 Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking AAAI 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning NeurIPS 2020 Raw Sign and Magnitude Spectra for Multi-Head Acoustic Modelling Interspeech 2020 RDCFace: Radial Distortion Correction for Face Recognition CVPR 2020