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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Texvent: Asynchronous Event Data Simulation via Text Prompt CVPR 2026 TFB at SemEval-2026 Task 4: Diagnosing Model Failures in Narrative Understanding SemEval 2026 TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection CVPR 2026 TFD-Net: Towards Intelligent Time-Frequency Mode Decomposition with Practical Applications AAAI 2026 TF-SSD: A Strong Pipeline via Synergic Mask Filter for Training-free Co-salient Object Detection CVPR 2026 TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction AAAI 2026 TGSFormer: Scalable Temporal Gaussian Splatting for Embodied Semantic Scene Completion CVPR 2026 TGTrack: Temporal Generative Learning for Unified Single Object Tracking CVPR 2026 TGT: Text-Grounded Trajectories for Locally Controlled Video Generation CVPR 2026 T-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates AAAI 2026 The Argonauts at SemEval 2026 Task 6: Large Language Models for Response Clarity Classification: Prompting, Fine-Tuning, and Data-Centric Approaches SemEval 2026 The Bidirectional Process Reward Model ACL 2026 The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check ACL 2026 The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models CVPR 2026 The Classics at SemEval-2026 Task 3: Combining Transformer Models and LLM-Generated Annotations for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment CVPR 2026 The Convergence Behavior of Adam under Heavy-Tailed Noise UAI 2026 The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic AAAI 2026 The Counterfactuals at SemEval-2026 Task 9: Can Counterfactually-Inspired Preprocessing help Detect Polarization? SemEval 2026 The Data Frontier for Large Language Models: Selection, Synthesis, and Tools ACL 2026 The Devil is in Attention Sharing: Improving Complex Non-rigid Image Editing Faithfulness via Attention Synergy CVPR 2026 The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery CVPR 2026 The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection CVPR 2026 The Dominance of Text Space: Unveiling the Asymmetric Nature of Cross-Modal Alignment in Large Language Models ACL 2026 The Drift Kernel: Why Diffusion Models Change Even When Told Not To CVPR 2026