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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024 An efficient text augmentation approach for contextualized Mandarin speech recognition Interspeech 2024 An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making EMNLP 2024 An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements ACL 2024 An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding IJCAI 2024 An Empirical Analysis on Large Language Models in Debate Evaluation ACL 2024 An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models EMNLP 2024 An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models CoNLL 2024 An Empirical Study Into What Matters for Calibrating Vision-Language Models ICML 2024 An Empirical Study of CLIP for Text-Based Person Search AAAI 2024 An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024 An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024 An Empirical Study of Multilingual Reasoning Distillation for Question Answering EMNLP 2024 An Empirical Study of Realized GNN Expressiveness ICML 2024 An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024 An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains CVPR 2024 An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference EMNLP 2024 An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models ACL 2024 An End-to-End Approach for Chord-Conditioned Song Generation Interspeech 2024 An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval NeurIPS 2024 An Entropy-based Text Watermarking Detection Method ACL 2024 A Neural Architecture Predictor based on GNN-Enhanced Transformer AISTATS 2024 A Neural Height-Map Approach for the Binocular Photometric Stereo Problem WACV 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions ICML 2024