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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)

Understanding Higher-Order Correlations Among Semantic Components in Embeddings EMNLP 2024 Understanding Hyperbolic Metric Learning Through Hard Negative Sampling WACV 2024 Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024 Understanding Pathologies of Deep Heteroskedastic Regression UAI 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models ICML 2024 Understanding the Role of the Projector in Knowledge Distillation AAAI 2024 Understanding Visual Feature Reliance through the Lens of Complexity NeurIPS 2024 Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates ICLR 2024 Unelicitable Backdoors via Cryptographic Transformer Circuits NeurIPS 2024 Ungeneralizable Examples CVPR 2024 UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024 UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner NeurIPS 2024 UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling NeurIPS 2024 UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages ACL 2024 UniCell: Universal Cell Nucleus Classification via Prompt Learning AAAI 2024 UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks EMNLP 2024 UniDepth: Universal Monocular Metric Depth Estimation CVPR 2024 Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation ACL 2024 Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection NeurIPS 2024 Unified Entropy Optimization for Open-Set Test-Time Adaptation CVPR 2024 Unified Generative and Discriminative Training for Multi-modal Large Language Models NeurIPS 2024 Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling NeurIPS 2024 Unified Language-driven Zero-shot Domain Adaptation CVPR 2024 Unified Lexical Representation for Interpretable Visual-Language Alignment NeurIPS 2024