Deep Learning

A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training NeurIPS 2024 An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification WACV 2024 An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024 A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NeurIPS 2024 Are Language Models Actually Useful for Time Series Forecasting? NeurIPS 2024 Are modern neural ASR architectures robust for polysynthetic languages? EMNLP 2024 Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning AAAI 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition CVPR 2024 A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NeurIPS 2024 Automatic Annotation Elaboration as Feedback to Sign Language Learners EACL 2024 AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024 AutoPSV: Automated Process-Supervised Verifier NeurIPS 2024 BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving AAAI 2024 BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NeurIPS 2024 Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024 Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints EMNLP 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Building a corpus for the anonymization of Romanian jurisprudence EACL 2024