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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention AAAI 2025 SALOVA: Segment-Augmented Long Video Assistant for Targeted Retrieval and Routing in Long-Form Video Analysis CVPR 2025 SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning UAI 2025 SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer ICCV 2025 Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification ICLR 2025 SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation CVPR 2025 SAM 2: Segment Anything in Images and Videos ICLR 2025 SAM4D: Segment Anything in Camera and LiDAR Streams ICCV 2025 SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation AAAI 2025 Samba: A Unified Mamba-based Framework for General Salient Object Detection CVPR 2025 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling ICLR 2025 Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking ICLR 2025 SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation ICLR 2025 SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation WACV 2025 SAM Decoding: Speculative Decoding via Suffix Automaton ACL 2025 SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts ICCV 2025 SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 Sample- and Parameter-Efficient Auto-Regressive Image Models CVPR 2025 Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025 Sample Efficient Alignment Learning With Episodic Control EMNLP 2025 SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025 SAMPLE: Semantic Alignment through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition ICCV 2025 Sample-specific Noise Injection for Diffusion-based Adversarial Purification ICML 2025 Sampling Binary Data by Denoising through Score Functions ICML 2025 Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025