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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)

Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification EMNLP 2020 EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle CVPR 2020 Enabling Language Models to Fill in the Blanks ACL 2020 Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction ACL 2020 Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages ACL 2020 End-to-End Adversarial-Attention Network for Multi-Modal Clustering CVPR 2020 End-to-End Bias Mitigation by Modelling Biases in Corpora ACL 2020 End-to-End Deep Learning Speech Recognition Model for Silent Speech Challenge Interspeech 2020 End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming Interspeech 2020 End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking AAAI 2020 End-to-End Learning of Visual Representations From Uncurated Instructional Videos CVPR 2020 End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances CVPR 2020 End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2 ACL 2020 End-to-End Neural Word Alignment Outperforms GIZA++ ACL 2020 End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning ACL 2020 End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection CVPR 2020 End-to-End Simultaneous Translation System for IWSLT2020 Using Modality Agnostic Meta-Learning ACL 2020 End-to-End Slot Alignment and Recognition for Cross-Lingual NLU EMNLP 2020 End-to-End Speech-to-Dialog-Act Recognition Interspeech 2020 End-to-End Speech Translation with Adversarial Training ACL 2020 End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020 ACL 2020 End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems EMNLP 2020 End-to-End Unpaired Image Denoising with Conditional Adversarial Networks AAAI 2020 Energy-Based Processes for Exchangeable Data ICML 2020 Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding AACL 2020