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

2,083

3,689

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8,201

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Papers (including subtopics)

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling CVPR 2026 Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026 SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities WACV 2026 SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition AAAI 2026 Swap Regret Minimization Through Response-Based Approachability COLT 2026 SWIFT: Sliding Window Reconstruction for Few-Shot Training-Free Generated Video Attribution CVPR 2026 Symmetry-Aware Transformer Training for Automated Planning AAAI 2026 SymNet: A Multi-Task Network for Joint Radio Map Reconstruction and Transmitter Localization WACV 2026 Synthetic Data Generation for Training Diversified Commonsense Reasoning Models ACL 2026 Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning AAAI 2026 Syntra: Synthesizing Cross-Layer Controllers for Low-Latency Video Streaming NSDI 2026 TableMix: Enhancing Multimodal Table Reasoning in MLLMs from a Data-Centric Perspective CVPR 2026 Tables Guide Vision: Learning to See the Heart through Tabular Data WACV 2026 TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer (Abstract Reprint) AAAI 2026 Taien at SemEval-2026 Task 9: Multilingual Polarization Detection Using Transformer-based Models SemEval 2026 TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery CVPR 2026 Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning CVPR 2026 Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning CVPR 2026 Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation CVPR 2026 Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits COLT 2026 TANGO: Text-Anchored Guided Optimization for Robust Fine-tuning Vision-Language Models under Label Noise CVPR 2026 Tao–Filipino Neural Machine Translation: Strategies for Ultra–Low-Resource Settings EACL 2026 TaREx: Reinforcement Learning for Code-Driven Table Reasoning AAAI 2026 Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning AAAI 2026 Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints ACL 2026