Skip to content
conftrace_

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)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Representation Learning for Type-Driven Composition CoNLL 2020 Representation learning of writing style EMNLP 2020 Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data AAAI 2020 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Research on Task Discovery for Transfer Learning in Deep Neural Networks ACL 2020 Residual Continual Learning AAAI 2020 Residual Policy Learning for Shared Autonomy RSS 2020 Resource-Enhanced Neural Model for Event Argument Extraction EMNLP 2020 Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation ACL 2020 Response Selection for Multi-Party Conversations with Dynamic Topic Tracking EMNLP 2020 ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis WACV 2020 REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020 RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP 2020 Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective CVPR 2020 Rethinking Classification and Localization for Object Detection CVPR 2020 Rethinking Computer-Aided Tuberculosis Diagnosis CVPR 2020 Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy CVPR 2020 Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020 Rethinking Importance Weighting for Deep Learning under Distribution Shift NeurIPS 2020 Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract) AAAI 2020 Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect AAAI 2020 Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity AAAI 2020 Rethinking the Route Towards Weakly Supervised Object Localization CVPR 2020 Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications CVPR 2020 RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild CVPR 2020