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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)

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning CVPR 2020 Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation EMNLP 2020 It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT EMNLP 2020 JANE: Jointly Adversarial Network Embedding IJCAI 2020 JAX MD: A Framework for Differentiable Physics NeurIPS 2020 JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection CVPR 2020 Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation AAAI 2020 Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text AAAI 2020 Joint Commonsense and Relation Reasoning for Image and Video Captioning AAAI 2020 Joint Contrastive Learning with Infinite Possibilities NeurIPS 2020 Joint Demosaicing and Denoising With Self Guidance CVPR 2020 Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model AAAI 2020 Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation ACL 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 Joint Modelling of Emotion and Abusive Language Detection ACL 2020 Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts CVPR 2020 Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking CVPR 2020 Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference ACL 2020 “Judge me by my size (noun), do you?” YodaLib: A Demographic-Aware Humor Generation Framework COLING 2020 JukeBox: A Multilingual Singer Recognition Dataset Interspeech 2020 Just Add Functions: A Neural-Symbolic Language Model AAAI 2020 Just Ask: An Interactive Learning Framework for Vision and Language Navigation AAAI 2020 Just Go With the Flow: Self-Supervised Scene Flow Estimation CVPR 2020 JUST System for WMT20 Chat Translation Task EMNLP 2020 Keep CALM and Explore: Language Models for Action Generation in Text-based Games EMNLP 2020