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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)

CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation WACV 2025 CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction COLING 2025 CACE: Sim-to-Real Indoor 3D Semantic Segmentation via Context-Aware Augmentation and Consistency Enforcement WACV 2025 CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images CVPR 2025 CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025 CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint) IJCAI 2025 CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability EMNLP 2025 CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval ACL 2025 CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation AAAI 2025 CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection AAAI 2025 Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025 CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges ACL 2025 Calibrated Computation-Aware Gaussian Processes AISTATS 2025 Calibrated Disambiguation for Partial Multi-label Learning AAAI 2025 Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025 Calibrated Multi-Preference Optimization for Aligning Diffusion Models CVPR 2025 Calibrated Regression Against An Adversary Without Regret UAI 2025 Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels EMNLP 2025 Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025 Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification EMNLP 2025 CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning ICCV 2025 Call for Rigor in Reporting Quality of Instruction Tuning Data ACL 2025 CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025 CALM: Consensus-Aware Localized Merging for Multi-Task Learning ICML 2025 CaLQuest.PT: Towards the Collection and Evaluation of Natural Causal Ladder Questions in Portuguese for AI Agents COLING 2025