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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)

Benchmarking LLMs on Semantic Overlap Summarization EMNLP 2025 Benchmarking Long-Context Language Models on Long Code Understanding ACL 2025 Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program ICCV 2025 Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains ACL 2025 Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks COLING 2025 Benchmarking Whisper for Low-Resource Speech Recognition: An N-Shot Evaluation on Pashto, Punjabi, and Urdu COLING 2025 Benchmarking zero-shot biomedical relation triplet extraction across language model architectures ACL 2025 Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks EMNLP 2025 Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts EMNLP 2025 Bengali ChartSumm: A Benchmark Dataset and study on feasibility of Large Language Models on Bengali Chart to Text Summarization COLING 2025 Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety ICML 2025 BERT-Based Code Learning for Exception Localization and Type Prediction AAAI 2025 Best-Arm Identification in Unimodal Bandits AISTATS 2025 Best Arm Identification with Possibly Biased Offline Data UAI 2025 beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation CVPR 2025 Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis AAAI 2025 Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025 Beyond Averages: Learning with Annotator Disagreement in STS EMNLP 2025 Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation CVPR 2025 Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization NAACL 2025 Beyond Benchmarks: Building a Richer Cross-Document Event Coreference Dataset with Decontextualization NAACL 2025 Beyond Brain Decoding: Visual-Semantic Reconstructions to Mental Creation Extension Based on fMRI ICCV 2025 Beyond Checkmate: Exploring the Creative Choke Points for AI Generated Texts EMNLP 2025 Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations ACL 2025 Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMs IJCNLP 2025