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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)

Towards Cross-speaker Reading Style Transfer on Audiobook Dataset Interspeech 2022 Towards Data-Free Domain Generalization ACML 2022 Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022 Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking CVPR 2022 Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization NeurIPS 2022 Towards Efficient 3D Object Detection with Knowledge Distillation NeurIPS 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure EMNLP 2022 Towards Efficiently Learning Monotonic Alignments for Attention-based End-to-End Speech Recognition Interspeech 2022 Towards End-to-End Image Compression and Analysis with Transformers AAAI 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation CVPR 2022 Towards Generalizeable Semantic Product Search by Text Similarity Pre-training on Search Click Logs ACL 2022 Towards Implicit Text-Guided 3D Shape Generation CVPR 2022 Towards Improved Distantly Supervised Multilingual Named-Entity Recognition for Tweets EMNLP 2022 Towards Improving Calibration in Object Detection Under Domain Shift NeurIPS 2022 Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge EMNLP 2022 Towards Lightweight Black-Box Attack Against Deep Neural Networks NeurIPS 2022 Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation ACL 2022 Towards Modeling Role-Aware Centrality for Dialogue Summarization AACL 2022 Towards Multi-Domain Single Image Dehazing via Test-Time Training CVPR 2022 Towards Multimodal Depth Estimation From Light Fields CVPR 2022 Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement EMNLP 2022 Towards Multimodal Vision-Language Models Generating Non-generic Text AAAI 2022