conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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1,314

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3,689

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8,201

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Papers (including subtopics)

ProCrop: Learning Aesthetic Image Cropping from Professional Compositions AAAI 2026 ProMedical: Hierarchical Fine-Grained Criteria Modeling for Medical LLM Alignment via Explicit Injection ACL 2026 Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract) AAAI 2026 PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities AAAI 2026 Prompting Adversarial Transferability via Path Flatness Attack AAAI 2026 PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures AAAI 2026 Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026 ProPhy: Progressive Physical Alignment for Dynamic World Simulation CVPR 2026 ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling AAAI 2026 Prosody as Supervision: Bridging the Non-Verbal–Verbal for Multilingual Speech Emotion Recognition ACL 2026 Prototype-Driven Active Domain Adaptation with Density Consideration AAAI 2026 Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning AAAI 2026 Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels AAAI 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Provable Subspace Identification of Nonlinear Multi-view CCA UAI 2026 Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries UAI 2026 Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs UAI 2026 Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator UAI 2026 Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training ACL 2026 Pseudo-Likelihood Training for Reasoning Diffusion Language Models EACL 2026 PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation SemEval 2026 P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning AAAI 2026 Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026 QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs AAAI 2026 Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection WACV 2026