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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)

Learning De-Biased Representations for Remote-Sensing Imagery NeurIPS 2024 Learning Degradation-Independent Representations for Camera ISP Pipelines CVPR 2024 Learning Diffusion Texture Priors for Image Restoration CVPR 2024 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization AAAI 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation CVPR 2024 Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization NeurIPS 2024 Learning Distinguishable Trajectory Representation with Contrastive Loss NeurIPS 2024 Learning Distributions on Manifolds with Free-Form Flows NeurIPS 2024 Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck AAAI 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret AAAI 2024 Learning Equi-angular Representations for Online Continual Learning CVPR 2024 Learning Formal Mathematics From Intrinsic Motivation NeurIPS 2024 Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation NeurIPS 2024 Learning from an Infant’s Visual Experience AAAI 2024 Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration AAAI 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features ICML 2024 Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training EMNLP 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024 Learning from Pattern Completion: Self-supervised Controllable Generation NeurIPS 2024 Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems EMNLP 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024 Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance AAAI 2024 Learning Geometry-Aware Representations for New Intent Discovery ACL 2024