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Model Architecture

4,354 papers

Papers per year

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Papers

Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains AAAI 2024
REPrune: Channel Pruning via Kernel Representative Selection AAAI 2024
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation AAAI 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024
FFT-Based Dynamic Token Mixer for Vision AAAI 2024
Parameterized Projected Bellman Operator AAAI 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model AAAI 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024
PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search AAAI 2024
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation AAAI 2024
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling AAAI 2024
From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks AAAI 2024
Cached Transformers: Improving Transformers with Differentiable Memory Cachde AAAI 2024
Quantum-Inspired Neural Network with Runge-Kutta Method AAAI 2024
Preparing Lessons for Progressive Training on Language Models AAAI 2024
DIUSum: Dynamic Image Utilization for Multimodal Summarization AAAI 2024
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning AAAI 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024
SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024