Deep Learning

Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024 Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024 Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context AAAI 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Experiments in Multi-Variant Natural Language Processing for Nahuatl NAACL 2024 Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights EMNLP 2024 Exploring the impact of noise in low-resource ASR for Tamil EACL 2024 Fast Machine Unlearning without Retraining through Selective Synaptic Dampening AAAI 2024 Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NeurIPS 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024 Finding Interpretable Class-Specific Patterns through Efficient Neural Search AAAI 2024 Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning CVPR 2024 Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models EMNLP 2024 Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024 Free-form Flows: Make Any Architecture a Normalizing Flow AISTATS 2024 Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NeurIPS 2024 From GARCH to Neural Network for Volatility Forecast AAAI 2024 Full-Atom Peptide Design with Geometric Latent Diffusion NeurIPS 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024 Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024