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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)

Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity AAAI 2023 Rethinking Document-Level Relation Extraction: A Reality Check ACL 2023 Rethinking Few-Shot Medical Segmentation: A Vector Quantization View CVPR 2023 Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective CVPR 2023 Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023 Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View ACL 2023 Rethinking Semi-supervised Learning with Language Models ACL 2023 Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding Interspeech 2023 Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models EMNLP 2023 Rethinking the Correlation in Few-Shot Segmentation: A Buoys View CVPR 2023 Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition CVPR 2023 Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale ACL 2023 Rethinking the Visual Cues in Audio-Visual Speaker Extraction Interspeech 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NeurIPS 2023 Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer Interspeech 2023 Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning CVPR 2023 Retrieval-Augmented Few-shot Text Classification EMNLP 2023 Retrieval-augmented Image Captioning EACL 2023 Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty EMNLP 2023 Retrieval-augmented Video Encoding for Instructional Captioning ACL 2023 Retrieval-based Controllable Molecule Generation ICLR 2023 Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023 Retrieval-Based Transformer for Table Augmentation ACL 2023