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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Graph Neural Networks with a Distribution of Parametrized Graphs ICML 2024 Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing ACML 2024 Graph Neural Networks with Soft Association between Topology and Attribute AAAI 2024 Graph Neural PDE Solvers with Conservation and Similarity-Equivariance ICML 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping ICML 2024 Graph Parsing Networks ICLR 2024 Graph Positional and Structural Encoder ICML 2024 GraphPulse: Topological representations for temporal graph property prediction ICLR 2024 GraphQL Query Generation: A Large Training and Benchmarking Dataset EMNLP 2024 GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models EMNLP 2024 GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach ACL 2024 Graph-Structured Speculative Decoding ACL 2024 Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NeurIPS 2024 GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules NeurIPS 2024 Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification EMNLP 2024 GraphVis: Boosting LLMs with Visual Knowledge Graph Integration NeurIPS 2024 GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism NAACL 2024 GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models IJCAI 2024 GraspSplats: Efficient Manipulation with 3D Feature Splatting CoRL 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NeurIPS 2024 Greed is All You Need: An Evaluation of Tokenizer Inference Methods ACL 2024 GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs CVPR 2024