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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)

Class-Disentanglement and Applications in Adversarial Detection and Defense NeurIPS 2021 Classification and Geotemporal Analysis of Quality-of-Life Issues in Tenant Reviews EMNLP 2021 Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications EMNLP 2021 Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation Interspeech 2021 Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection AAAI 2021 Class Normalization for (Continual)? Generalized Zero-Shot Learning ICLR 2021 ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic CVPR 2021 CLCC: Contrastive Learning for Color Constancy CVPR 2021 clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation CVPR 2021 C-Learning: Learning to Achieve Goals via Recursive Classification ICLR 2021 CLEVE: Contrastive Pre-training for Event Extraction ACL 2021 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization EMNLP 2021 CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ACL 2021 Closed-Form Factorization of Latent Semantics in GANs CVPR 2021 Clothing Status Awareness for Long-Term Person Re-Identification ICCV 2021 Cloud2Curve: Generation and Vectorization of Parametric Sketches CVPR 2021 CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting AAAI 2021 Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization EMNLP 2021 Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation CVPR 2021 CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter ACL 2021 CNN-Based Processing of Acoustic and Radio Frequency Signals for Speaker Localization from MAVs Interspeech 2021 CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis AAAI 2021 Co2L: Contrastive Continual Learning ICCV 2021 Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data EMNLP 2021 Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization CVPR 2021