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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)

Towards Verifiable Text Generation with Generative Agent AAAI 2025 Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation AAAI 2025 ToW: Thoughts of Words Improve Reasoning in Large Language Models NAACL 2025 TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering AAAI 2025 TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees ICLR 2025 TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes WACV 2025 TRACE: Training and Inference-Time Interpretability Analysis for Language Models EMNLP 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 Tracing Copied Pixels and Regularizing Patch Affinity in Copy Detection ICCV 2025 Tracking Universal Features Through Fine-Tuning and Model Merging NAACL 2025 TrackVerse: A Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning ICCV 2025 Tracr-Injection: Distilling Algorithms into Pre-trained Language Models ACL 2025 TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge ACL 2025 Tradutor: Building a Variety Specific Translation Model AAAI 2025 TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception CVPR 2025 TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes ICCV 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context ICLR 2025 Training Articulatory Inversion Models for Interspeaker Consistency Interspeech 2025 Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models EMNLP 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025 Training-Free Image Manipulation Localization Using Diffusion Models AAAI 2025 Training Language Models to Critique With Multi-agent Feedback EMNLP 2025 Training Language Model to Critique for Better Refinement ACL 2025