Neural Networks

TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations SemEval 2024 Temporal Graph ODEs for Irregularly-Sampled Time Series IJCAI 2024 Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations NeurIPS 2024 Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks AAAI 2024 Testing the limits of logical reasoning in neural and hybrid models NAACL 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis CVPR 2024 TETRIS: Towards Exploring the Robustness of Interactive Segmentation AAAI 2024 Text2Model: Text-based Model Induction for Zero-shot Image Classification EMNLP 2024 Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning AAAI 2024 TextNeRF: A Novel Scene-Text Image Synthesis Method based on Neural Radiance Fields CVPR 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 The Effective Horizon Explains Deep RL Performance in Stochastic Environments ICLR 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks ICML 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NeurIPS 2024 The Expressive Capacity of State Space Models: A Formal Language Perspective NeurIPS 2024 The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024 The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NeurIPS 2024 The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024 The Mexican Gayze: A Computational Analysis of the Attitudes towards the LGBT+ Population in Mexico on Social Media Across a Decade NAACL 2024 Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach ICLR 2024 Theoretical Foundations of Deep Selective State-Space Models NeurIPS 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024