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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)

Knowledge-Enriched Distributional Model Inversion Attacks ICCV 2021 Knowledge-Enriched Natural Language Generation EMNLP 2021 Knowledge Evolution in Neural Networks CVPR 2021 Knowledge-Guided Object Discovery with Acquired Deep Impressions AAAI 2021 Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations EMNLP 2021 Knowledge Refinery: Learning from Decoupled Label AAAI 2021 KnowMAN: Weakly Supervised Multinomial Adversarial Networks EMNLP 2021 Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement Interspeech 2021 KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment CVPR 2021 KOAS: Korean Text Offensiveness Analysis System EMNLP 2021 KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA CVPR 2021 KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021 Label Confusion Learning to Enhance Text Classification Models AAAI 2021 Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting CVPR 2021 Label-Enhanced Hierarchical Contextualized Representation for Sequential Metaphor Identification EMNLP 2021 LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning NeurIPS 2021 LAFEAT: Piercing Through Adversarial Defenses With Latent Features CVPR 2021 LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization EMNLP 2021 Land Deformation Prediction via Slope-Aware Graph Neural Networks AAAI 2021 Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation EMNLP 2021 Language Model Pretraining and Transfer Learning for Very Low Resource Languages EMNLP 2021 Language Models are Few-Shot Butlers EMNLP 2021 Language Models are Few-shot Multilingual Learners EMNLP 2021 Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021 ACL 2021 Language Resource Efficient Learning for Captioning EMNLP 2021