Architectures

Generating Human Motion From Textual Descriptions With Discrete Representations CVPR 2023 Generating Instance-level Prompts for Rehearsal-free Continual Learning ICCV 2023 Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds ICML 2023 Generative Adversarial Symmetry Discovery ICML 2023 Generative Diffusion Models on Graphs: Methods and Applications IJCAI 2023 Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge EMNLP 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs IJCAI 2023 Generative Graph Dictionary Learning ICML 2023 Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning NeurIPS 2023 Generative Pretrained Transformers for Emotion Detection in a Code-Switching Setting ACL 2023 Generative Prompt Model for Weakly Supervised Object Localization ICCV 2023 Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling AAAI 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning ACL 2023 GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction CVPR 2023 GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training CVPR 2023 Geometric Algebra Transformer NeurIPS 2023 Geometrically regularized autoencoders for non-Euclidean data ICLR 2023 Geometric Autoencoders - What You See is What You Decode ICML 2023 Geometric Latent Diffusion Models for 3D Molecule Generation ICML 2023 Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023 Geometric Transformer with Interatomic Positional Encoding NeurIPS 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 Geometry Matching for Multi-Embodiment Grasping CoRL 2023 GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising NeurIPS 2023