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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)

Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling CVPR 2022 PointCLIP: Point Cloud Understanding by CLIP CVPR 2022 Point Cloud Color Constancy CVPR 2022 Point Cloud Pre-Training With Natural 3D Structures CVPR 2022 Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training NeurIPS 2022 PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points NeurIPS 2022 Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation CVPR 2022 PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds NeurIPS 2022 Polyglot Prompt: Multilingual Multitask Prompt Training EMNLP 2022 Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks NeurIPS 2022 Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction AAAI 2022 Pose and Joint-Aware Action Recognition WACV 2022 Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer AAAI 2022 Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction AAAI 2022 PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound CVPR 2022 Position Prediction as an Effective Pretraining Strategy ICML 2022 PosterBot: A System for Generating Posters of Scientific Papers with Neural Models AAAI 2022 Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models AAAI 2022 Post-Training with Interrogative Sentences for Enhancing BART-based Korean Question Generator AACL 2022 Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily AAAI 2022 Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling AAAI 2022 PPT: Pre-trained Prompt Tuning for Few-shot Learning ACL 2022 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NeurIPS 2022 Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack CVPR 2022