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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)

LieRE: Lie Rotational Positional Encodings ICML 2025 Lifelong Scalable Generative System via Online Maximum Mean Discrepancy AAAI 2025 Lifting by Gaussians: A Simple Fast and Flexible Method for 3D Instance Segmentation WACV 2025 Lifting Motion to the 3D World via 2D Diffusion CVPR 2025 Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild AAAI 2025 Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference CVPR 2025 Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond ACL 2025 Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence NAACL 2025 Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval AAAI 2025 Lightweight Safety Guardrails Using Fine-tuned BERT Embeddings COLING 2025 Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation AAAI 2025 Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading AAAI 2025 LILaC: Late Interacting in Layered Component Graph for Open-domain Multimodal Multihop Retrieval EMNLP 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them AAAI 2025 Limited-Resource Adapters Are Regularizers, Not Linguists ACL 2025 LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes CVPR 2025 LimRank: Less is More for Reasoning-Intensive Information Reranking EMNLP 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better ICLR 2025 Linear Steerability in Language Models: When It Emerges and How It Evolves EMNLP 2025 Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential Games L4DC 2025 LinearVC: Linear Transformations of Self-Supervised Features Through the Lens of Voice Conversion Interspeech 2025 Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning ACL 2025 Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages EMNLP 2025 LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL EMNLP 2025