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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)

Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling EMNLP 2022 Zero-shot Disfluency Detection for Indian Languages COLING 2022 Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective EMNLP 2022 Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP AAAI 2022 Zero-Shot Ranking Socio-Political Texts with Transformer Language Models to Reduce Close Reading Time EMNLP 2022 Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks NeurIPS 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022 Zoom Out and Observe: News Environment Perception for Fake News Detection ACL 2022 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding CVPR 2021 3DeepCT: Learning Volumetric Scattering Tomography of Clouds ICCV 2021 3D Human Action Representation Learning via Cross-View Consistency Pursuit CVPR 2021 3D-to-2D Distillation for Indoor Scene Parsing CVPR 2021 A3-108 Machine Translation System for Similar Language Translation Shared Task 2021 EMNLP 2021 A Backdoor Attack Against 3D Point Cloud Classifiers ICCV 2021 A Bag of Tricks for Dialogue Summarization EMNLP 2021 A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment ACL 2021 ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation CVPR 2021 A Bottom-Up DAG Structure Extraction Model for Math Word Problems AAAI 2021 A Case Study of the Shortcut Effects in Visual Commonsense Reasoning AAAI 2021 Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework ICML 2021 Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing AAAI 2021 Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning NeurIPS 2021 Achieving Model Robustness through Discrete Adversarial Training EMNLP 2021 Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021 A Circular-Structured Representation for Visual Emotion Distribution Learning CVPR 2021