Deep Learning

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification CVPR 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023 Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions AAAI 2023 Deep Attentive Model for Knowledge Tracing AAAI 2023 Deep Deterministic Uncertainty: A New Simple Baseline CVPR 2023 Deep Hashing With Minimal-Distance-Separated Hash Centers CVPR 2023 Denoising MCMC for Accelerating Diffusion-Based Generative Models ICML 2023 Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023 DiffuDetox: A Mixed Diffusion Model for Text Detoxification ACL 2023 Diffusing Gaussian Mixtures for Generating Categorical Data AAAI 2023 Discrete Diffusion Probabilistic Models for Symbolic Music Generation IJCAI 2023 Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction ACL 2023 Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023 Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine AAAI 2023 Dropout Reduces Underfitting ICML 2023 Dual Focal Loss for Calibration ICML 2023 EEG-based Auditory Attention Detection with Spatiotemporal Graph and Graph Convolutional Network Interspeech 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors EMNLP 2023 Evaluating and Improving Automatic Speech Recognition using Severity ACL 2023 Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023 Extractive Summarization via ChatGPT for Faithful Summary Generation EMNLP 2023 Factorized Fourier Neural Operators ICLR 2023