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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning COLING 2025 Change Point Detection in Hadamard Spaces by Alternating Minimization AISTATS 2025 Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining CVPR 2025 Character-Aware English-to-Japanese Translation of Fictional Dialogue Using Speaker Embeddings and Back-Translation EMNLP 2025 Character is Destiny: Can Persona-assigned Language Models Make Personal Choices? EMNLP 2025 Characterizing Mamba’s Selective Memory using Auto-Encoders IJCNLP 2025 ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild COLING 2025 Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead EMNLP 2025 ChartM3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension EMNLP 2025 ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding ICLR 2025 ChatBench: From Static Benchmarks to Human-AI Evaluation ACL 2025 Chat-Driven Text Generation and Interaction for Person Retrieval EMNLP 2025 ChatGarment: Garment Estimation, Generation and Editing via Large Language Models CVPR 2025 ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models ICCV 2025 CHATTER: A character-attribution dataset for narrative understanding NAACL 2025 Cheap Character Noise for OCR-Robust Multilingual Embeddings ACL 2025 CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists EMNLP 2025 Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch ACL 2025 CHEER-Ekman: Fine-grained Embodied Emotion Classification ACL 2025 Chemistry-Inspired Diffusion with Non-Differentiable Guidance ICLR 2025 ChengyuSTS: An Intrinsic Perspective on Mandarin Idiom Representation EMNLP 2025 Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine AAAI 2025 CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback ACL 2025 CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning CVPR 2025 Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model’s Capability of Emotion Perception using Contrastive Learning SemEval 2025