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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)

Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation AAAI 2025 Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025 Token-level Proximal Policy Optimization for Query Generation EMNLP 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification AAAI 2025 TokenShapley: Token Level Context Attribution with Shapley Value ACL 2025 TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability EMNLP 2025 TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation ICCV 2025 TombRaider: Entering the Vault of History to Jailbreak Large Language Models EMNLP 2025 Tongue-Tied: Breaking LLMs Safety Through New Language Learning NAACL 2025 Too Helpful, Too Harmless, Too Honest or Just Right? EMNLP 2025 ToolReAGt: Tool Retrieval for LLM-based Complex Task Solution via Retrieval Augmented Generation ACL 2025 ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data ACL 2025 Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization EMNLP 2025 TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation ICCV 2025 Tore-Klose: Record Scorer, Goal Hunter, Machine? Human Association Norms for German Personal Name Compounds ACL 2025 Toward Efficient Data-Free Unlearning AAAI 2025 Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization ICLR 2025 Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025 Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP AAAI 2025 Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge ICCV 2025 Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling Interspeech 2025 Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation ACL 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 Towards a mathematical theory for consistency training in diffusion models AISTATS 2025