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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)

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation CVPR 2022 Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule ACML 2022 Dynamic Global Memory for Document-level Argument Extraction ACL 2022 Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering AAAI 2022 Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information CVPR 2022 Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation AAAI 2022 Dynamic Nonlinear Mixup with Distance-based Sample Selection COLING 2022 Dynamic Prefix-Tuning for Generative Template-based Event Extraction ACL 2022 Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation CVPR 2022 Dynamic Scene Graph Generation via Anticipatory Pre-Training CVPR 2022 Dynamic Sparse R-CNN CVPR 2022 DynamicTOC: Persona-based Table of Contents for Consumption of Long Documents NAACL 2022 E2EC: An End-to-End Contour-Based Method for High-Quality High-Speed Instance Segmentation CVPR 2022 E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition CVPR 2022 EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NeurIPS 2022 Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset NAACL 2022 EASE: Entity-Aware Contrastive Learning of Sentence Embedding NAACL 2022 Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification NAACL 2022 EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing EMNLP 2022 EasySED: Trusted Sound Event Detection with Self-Distillation AAAI 2022 EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation EMNLP 2022 Edinburgh’s Submission to the WMT 2022 Efficiency Task EMNLP 2022 EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation AAAI 2022 EENAS: An Efficient Evolutionary Algorithm for Neural Architecture Search ACML 2022 Eeny, meeny, miny, moe. How to choose data for morphological inflection. EMNLP 2022