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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)

Multiresolution Knowledge Distillation for Anomaly Detection CVPR 2021 Multi-Scale Aligned Distillation for Low-Resolution Detection CVPR 2021 Multi-Scale Matching Networks for Semantic Correspondence ICCV 2021 Multi-Scale Representation Learning on Proteins NeurIPS 2021 Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition AAAI 2021 Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation EMNLP 2021 Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation CVPR 2021 Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis AAAI 2021 Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos CVPR 2021 Multi-stage Pre-training over Simplified Multimodal Pre-training Models ACL 2021 Multi-Stage Progressive Image Restoration CVPR 2021 Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval EMNLP 2021 Multi-stream based marked point process ACML 2021 Multi-Stream Gated and Pyramidal Temporal Convolutional Neural Networks for Audio-Visual Speech Separation in Multi-Talker Environments Interspeech 2021 Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation ICCV 2021 Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic ACML 2021 Multi-task and Multi-corpora Training Strategies to Enhance Argumentative Sentence Linking Performance EMNLP 2021 Multi-task Learning in Argument Mining for Persuasive Online Discussions EMNLP 2021 Multi-Task Retrieval for Knowledge-Intensive Tasks ACL 2021 Multi-Task Self-Training for Learning General Representations ICCV 2021 Multi-type Disentanglement without Adversarial Training AAAI 2021 Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows ICLR 2021 Multi-View Cross-Lingual Structured Prediction with Minimum Supervision ACL 2021 Multi-View Information-Bottleneck Representation Learning AAAI 2021 Multi-View Representation Learning with Manifold Smoothness AAAI 2021