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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

TrackMAE: Video Representation Learning via Track Mask and Predict CVPR 2026 Tractable Sharpness-Aware Learning of Probabilistic Circuits AAAI 2026 TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation CVPR 2026 Trainable EEG Interpolation and Structure-Sharing Dual-Path Encoders for Brain-Assisted Target Speaker Extraction AAAI 2026 Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers CVPR 2026 Trainable, Multiword-aware Linguistic Tokenization Using Modern Neural Networks EACL 2026 Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers AAAI 2026 Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting WACV 2026 Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers CVPR 2026 Training-free Motion Factorization for Compositional Video Generation CVPR 2026 Training-Free Multi-Character Audio-Driven Animation via Diffusion Transformer with Reward Feedback AAAI 2026 Training-Free Open-Vocabulary Camouflaged Object Segmentation via Fine-Grained Object Binding and Adaptive Hybrid Prompt CVPR 2026 Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models CVPR 2026 Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models MIDL 2026 Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability ACL 2026 Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters CVPR 2026 TrainMover: An Interruption-Resilient Runtime for ML Training OSDI 2026 TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space AAAI 2026 Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents ACL 2026 Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature WACV 2026 Transferable Graph Condensation from the Causal Perspective AAAI 2026 Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges AAAI 2026 Transfer Conformal Predictive Inference for Regression JMLR 2026 Transfer Learning via Regularized Random-effects Linear Discriminant Analysis JMLR 2026 Transferring Causal Driving Patterns for Generalizable Traffic Simulation with Diffusion-Based Distillation AAAI 2026