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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)

Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation EMNLP 2020 FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis AAAI 2020 Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching CVPR 2020 Flow-based Intrinsic Curiosity Module IJCAI 2020 FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation WACV 2020 FNNC: Achieving Fairness through Neural Networks IJCAI 2020 FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020 FocalMix: Semi-Supervised Learning for 3D Medical Image Detection CVPR 2020 Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract) AAAI 2020 Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation CVPR 2020 Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task IJCAI 2020 Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery CVPR 2020 Form2Seq : A Framework for Higher-Order Form Structure Extraction EMNLP 2020 FPETS: Fully Parallel End-to-End Text-to-Speech System AAAI 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020 Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning Interspeech 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding ICLR 2020 Friendly Topic Assistant for Transformer Based Abstractive Summarization EMNLP 2020 From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement CVPR 2020 From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks CVPR 2020 From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap ACL 2020 From pixels to legs: Hierarchical learning of quadruped locomotion CoRL 2020 From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint Interspeech 2020 From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers EMNLP 2020 Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction CVPR 2020