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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)

Exploiting Commonsense Knowledge about Objects for Visual Activity Recognition ACL 2023 Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction EMNLP 2023 Exploiting Diversity of Automatic Transcripts from Distinct Speech Recognition Techniques for Children’s Speech Interspeech 2023 Exploiting Emotion Information in Speaker Embeddings for Expressive Text-to-Speech Interspeech 2023 Exploiting Emotion-Semantic Correlations for Empathetic Response Generation EMNLP 2023 Exploration of Contrastive Learning Strategies toward more Robust Stance Detection ACL 2023 Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning Interspeech 2023 Exploration of multilingual prompts in document-grounded dialogue ACL 2023 Exploration on HuBERT with Multiple Resolution Interspeech 2023 Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness ICLR 2023 Exploring and Utilizing Pattern Imbalance CVPR 2023 Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity ACL 2023 Exploring Better Text Image Translation with Multimodal Codebook ACL 2023 Exploring Continual Learning for Code Generation Models ACL 2023 Exploring Discontinuity for Video Frame Interpolation CVPR 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023 Exploring In-Context Learning for Knowledge Grounded Dialog Generation EMNLP 2023 Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis CVPR 2023 Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023 Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification ICLR 2023 Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation CVPR 2023 Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models Interspeech 2023 Exploring Robust Overfitting for Pre-trained Language Models ACL 2023 Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction AAAI 2023 Exploring Stochastic Autoregressive Image Modeling for Visual Representation AAAI 2023