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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)

Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025 ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025 Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control L4DC 2025 Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates AAAI 2025 Implementing and Evaluating Multi-source Retrieval-Augmented Translation EMNLP 2025 Implicit Bias Injection Attacks against Text-to-Image Diffusion Models CVPR 2025 Implicit Counterfactual Learning for Audio-Visual Segmentation ICCV 2025 Implicit Hate Target Span Detection in Zero- and Few-Shot Settings with Selective Sub-Billion Parameter Models ACL 2025 Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning AAAI 2025 Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing AAAI 2025 ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos ACL 2025 Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation AISTATS 2025 Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025 Imposter: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models COLING 2025 Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers EMNLP 2025 Improved Bounds for Online Facility Location with Predictions AAAI 2025 Improved Diffusion-based Generative Model with Better Adversarial Robustness ICLR 2025 Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks CVPR 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025 Improved Techniques for Optimization-Based Jailbreaking on Large Language Models ICLR 2025 Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles UAI 2025 Improve LLM-as-a-Judge Ability as a General Ability EMNLP 2025 Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025 Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate ACL 2025 Improve Speech Translation Through Text Rewrite COLING 2025