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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)

Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024 Generalizing CNNs to graphs with learnable neighborhood quantization NeurIPS 2024 Generalizing to Unseen Domains in Diabetic Retinopathy Classification WACV 2024 General Object Foundation Model for Images and Videos at Scale CVPR 2024 General Point Model Pretraining with Autoencoding and Autoregressive CVPR 2024 Generate then Refine: Data Augmentation for Zero-shot Intent Detection EMNLP 2024 Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection AAAI 2024 Generating Clarification Questions for Disambiguating Contracts COLING 2024 Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NeurIPS 2024 Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks ACL 2024 Generating compositional scenes via Text-to-image RGBA Instance Generation NeurIPS 2024 Generating Content for HDR Deghosting from Frequency View CVPR 2024 Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning ACL 2024 Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning EMNLP 2024 Generating Illustrated Instructions CVPR 2024 Generating Images of Rare Concepts Using Pre-trained Diffusion Models AAAI 2024 Generating Universal Adversarial Perturbations for Quantum Classifiers AAAI 2024 Generative Adversarial Model-Based Optimization via Source Critic Regularization NeurIPS 2024 Generative-Based Fusion Mechanism for Multi-Modal Tracking AAAI 2024 Generative Dictionary: Improving Language Learner Understanding with Contextual Definitions EMNLP 2024 Generative Flow Networks as Entropy-Regularized RL AISTATS 2024 Generative Image Dynamics CVPR 2024 Generative Model-Based Feature Knowledge Distillation for Action Recognition AAAI 2024 Generative Multi-modal Models are Good Class Incremental Learners CVPR 2024 Generative Multimodal Models are In-Context Learners CVPR 2024