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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)

EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles AAAI 2022 Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation ACL 2022 En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning CVPR 2022 End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking NeurIPS 2022 End-to-End Dependency Parsing of Spoken French Interspeech 2022 End-to-End Generative Pretraining for Multimodal Video Captioning CVPR 2022 End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding ACL 2022 End-to-End Multi-Loss Training for Low Delay Packet Loss Concealment Interspeech 2022 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection IJCAI 2022 End-to-End Segmentation-based News Summarization ACL 2022 End-to-end Speech-to-Punctuated-Text Recognition Interspeech 2022 End-to-End Speech Translation for Code Switched Speech ACL 2022 End-to-End Speech Translation of Arabic to English Broadcast News EMNLP 2022 End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps CVPR 2022 E-NER — An Annotated Named Entity Recognition Corpus of Legal Text EMNLP 2022 Energy-Based Contrastive Learning of Visual Representations NeurIPS 2022 Enforcement Heuristics for Argumentation with Deep Reinforcement Learning AAAI 2022 English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings EMNLP 2022 Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract) AAAI 2022 Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction ACL 2022 Enhance the Visual Representation via Discrete Adversarial Training NeurIPS 2022 Enhancing Adversarial Robustness for Deep Metric Learning CVPR 2022 Enhancing Adversarial Training With Second-Order Statistics of Weights CVPR 2022 Enhancing Face Recognition With Self-Supervised 3D Reconstruction CVPR 2022 Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence EMNLP 2022