{"total":124,"rows":[{"id":"2105.13290","title":"CogView: Mastering Text-to-Image Generation via Transformers","created":"2021-05-26","cited_by_count":694,"area":null},{"id":"2103.04922","title":"Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models","created":"2021-03-08","cited_by_count":252,"area":null},{"id":"2301.06015","title":"Diffusion-based Generation, Optimization, and Planning in 3D Scenes","created":"2023-01-15","cited_by_count":239,"area":"diffusion"},{"id":"2211.08332","title":"Versatile Diffusion: Text, Images and Variations All in One Diffusion Model","created":"2022-11-15","cited_by_count":199,"area":"diffusion"},{"id":"2311.01460","title":"Implicit Chain of Thought Reasoning via Knowledge Distillation","created":"2023-11-02","cited_by_count":176,"area":"lr"},{"id":"2104.02416","title":"Variational Transformer Networks for Layout Generation","created":"2021-04-06","cited_by_count":88,"area":null},{"id":"2206.10044","title":"Identifiability of deep generative models without auxiliary information","created":"2022-06-20","cited_by_count":70,"area":null},{"id":"2206.05895","title":"Latent Diffusion Energy-Based Model for Interpretable Text Modeling","created":"2022-06-13","cited_by_count":67,"area":"diffusion"},{"id":"2112.13528","title":"Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction","created":"2021-12-27","cited_by_count":57,"area":null},{"id":"2301.00537","title":"Posterior Collapse and Latent Variable Non-identifiability","created":"2023-01-02","cited_by_count":57,"area":null},{"id":"2105.14859","title":"Consistency Regularization for Variational Auto-Encoders","created":"2021-05-31","cited_by_count":51,"area":null},{"id":"2304.11118","title":"BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis","created":"2023-04-21","cited_by_count":45,"area":null},{"id":"2101.00828","title":"Transformer-based Conditional Variational Autoencoder for Controllable Story Generation","created":"2021-01-04","cited_by_count":44,"area":null},{"id":"2206.08743","title":"Learning Fair Representation via Distributional Contrastive Disentanglement","created":"2022-06-17","cited_by_count":31,"area":null},{"id":"2305.16635","title":"Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing","created":"2023-05-26","cited_by_count":31,"area":null},{"id":"2102.06648","title":"A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models","created":"2021-02-12","cited_by_count":29,"area":null},{"id":"2312.02156","title":"Latent Feature-Guided Diffusion Models for Shadow Removal","created":"2023-12-04","cited_by_count":29,"area":"diffusion"},{"id":"2508.13446","title":"CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models","created":"2025-08-19","cited_by_count":29,"area":"vla"},{"id":"2203.16705","title":"Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice Conversion","created":"2022-03-30","cited_by_count":28,"area":null},{"id":"2101.07496","title":"Disentangled Recurrent Wasserstein Autoencoder","created":"2021-01-19","cited_by_count":22,"area":null},{"id":"2103.00213","title":"Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention","created":"2021-02-27","cited_by_count":20,"area":null},{"id":"2207.06130","title":"Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation","created":"2022-07-13","cited_by_count":20,"area":null},{"id":"2310.07815","title":"Language Models As Semantic Indexers","created":"2023-10-11","cited_by_count":20,"area":null},{"id":"2204.07372","title":"A Personalized Dialogue Generator with Implicit User Persona Detection","created":"2022-04-15","cited_by_count":19,"area":null},{"id":"2307.08283","title":"Complexity Matters: Rethinking the Latent Space for Generative Modeling","created":"2023-07-17","cited_by_count":19,"area":"diffusion"},{"id":"2104.10127","title":"Generative Transformer for Accurate and Reliable Salient Object Detection","created":"2021-04-20","cited_by_count":18,"area":null},{"id":"2203.11370","title":"Language modeling via stochastic processes","created":"2022-03-21","cited_by_count":18,"area":null},{"id":"2212.03905","title":"Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve","created":"2022-12-07","cited_by_count":18,"area":null},{"id":"2303.01765","title":"Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement","created":"2023-03-03","cited_by_count":18,"area":null},{"id":"2106.03257","title":"Structured Reordering for Modeling Latent Alignments in Sequence Transduction","created":"2021-06-06","cited_by_count":17,"area":null},{"id":"2102.08663","title":"Preventing Oversmoothing in VAE via Generalized Variance Parameterization","created":"2021-02-17","cited_by_count":15,"area":null},{"id":"2108.11556","title":"Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification","created":"2021-08-26","cited_by_count":15,"area":null},{"id":"2109.00363","title":"ConRPG: Paraphrase Generation using Contexts as Regularizer","created":"2021-09-01","cited_by_count":13,"area":null},{"id":"2102.09310","title":"VAE Approximation Error: ELBO and Exponential Families","created":"2021-02-18","cited_by_count":12,"area":null},{"id":"2310.10567","title":"RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling","created":"2023-10-16","cited_by_count":12,"area":"rag"},{"id":"2112.06868","title":"Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias","created":"2021-12-13","cited_by_count":11,"area":null},{"id":"2305.16543","title":"Revisiting Structured Variational Autoencoders","created":"2023-05-25","cited_by_count":11,"area":null},{"id":"2205.08399","title":"How do Variational Autoencoders Learn? Insights from Representational Similarity","created":"2022-05-17","cited_by_count":10,"area":null},{"id":"2110.06427","title":"Dense Uncertainty Estimation","created":"2021-10-13","cited_by_count":9,"area":null},{"id":"2106.13389","title":"Energy-Based Generative Cooperative Saliency Prediction","created":"2021-06-25","cited_by_count":8,"area":null},{"id":"2205.01592","title":"Conditional $\\beta$-VAE for De Novo Molecular Generation","created":"2022-05-01","cited_by_count":8,"area":null},{"id":"2304.12770","title":"Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network","created":"2023-04-25","cited_by_count":7,"area":null},{"id":"2106.02513","title":"Generative Text Modeling through Short Run Inference","created":"2021-05-27","cited_by_count":6,"area":null},{"id":"2110.12381","title":"Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness","created":"2021-10-24","cited_by_count":6,"area":null},{"id":"2205.14539","title":"Improving VAE-based Representation Learning","created":"2022-05-28","cited_by_count":6,"area":null},{"id":"2207.09535","title":"Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse","created":"2022-07-19","cited_by_count":6,"area":null},{"id":"2312.11714","title":"Time-Transformer: Integrating Local and Global Features for Better Time Series Generation (Extended Version)","created":"2023-12-18","cited_by_count":6,"area":null},{"id":"2110.01384","title":"Simulated annealing for optimization of graphs and sequences","created":"2021-10-01","cited_by_count":5,"area":null},{"id":"2212.10726","title":"Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval","created":"2022-12-21","cited_by_count":5,"area":null},{"id":"2406.13661","title":"Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review","created":"2024-06-19","cited_by_count":5,"area":null},{"id":"2603.12595","title":"Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback","created":"2026-03-13","cited_by_count":5,"area":"alignment"},{"id":"2106.15962","title":"On the Generative Utility of Cyclic Conditionals","created":"2021-06-30","cited_by_count":4,"area":null},{"id":"2110.03318","title":"On the Latent Holes of VAEs for Text Generation","created":"2021-10-07","cited_by_count":4,"area":null},{"id":"2111.08133","title":"Exploring Story Generation with Multi-task Objectives in Variational Autoencoders","created":"2021-11-15","cited_by_count":4,"area":null},{"id":"2309.02968","title":"CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse","created":"2023-09-06","cited_by_count":4,"area":null},{"id":"2409.09828","title":"Latent Diffusion Models for Controllable RNA Sequence Generation","created":"2024-09-15","cited_by_count":4,"area":"diffusion"},{"id":"2001.06944","title":"Nested-Wasserstein Self-Imitation Learning for Sequence Generation","created":"2020-01-20","cited_by_count":3,"area":"offlinerl"},{"id":"2103.11265","title":"Bayesian Distributional Policy Gradients","created":"2021-03-20","cited_by_count":3,"area":null},{"id":"2112.14019","title":"Semi-supervised Salient Object Detection with Effective Confidence Estimation","created":"2021-12-28","cited_by_count":3,"area":null},{"id":"2202.04206","title":"Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE","created":"2022-02-09","cited_by_count":3,"area":null},{"id":"2204.08803","title":"An Energy-Based Prior for Generative Saliency","created":"2022-04-19","cited_by_count":3,"area":null},{"id":"2206.03211","title":"Variational Meta Reinforcement Learning for Social Robotics","created":"2022-06-07","cited_by_count":3,"area":null},{"id":"2209.12590","title":"Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs","created":"2022-09-26","cited_by_count":3,"area":null},{"id":"2304.10767","title":"How good are variational autoencoders at transfer learning?","created":"2023-04-21","cited_by_count":3,"area":null},{"id":"2309.13160","title":"How to train your VAE","created":"2023-09-22","cited_by_count":3,"area":null},{"id":"2310.09194","title":"Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling","created":"2023-10-13","cited_by_count":3,"area":null},{"id":"2409.05349","title":"On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective","created":"2024-09-09","cited_by_count":3,"area":null},{"id":"2106.08571","title":"Discrete Auto-regressive Variational Attention Models for Text Modeling","created":"2021-06-16","cited_by_count":2,"area":null},{"id":"2110.14945","title":"Preventing posterior collapse in variational autoencoders for text generation via decoder regularization","created":"2021-10-28","cited_by_count":2,"area":null},{"id":"2210.01760","title":"Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors","created":"2022-10-04","cited_by_count":2,"area":null},{"id":"2307.00852","title":"VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder","created":"2023-07-03","cited_by_count":2,"area":null},{"id":"2406.03439","title":"Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input","created":"2024-06-05","cited_by_count":2,"area":"diffusion"},{"id":"2505.09458","title":"Variational Rank Reduction Autoencoders","created":"2025-05-14","cited_by_count":2,"area":null},{"id":"2512.17206","title":"Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs","created":"2025-12-19","cited_by_count":2,"area":"lr"},{"id":"2106.03631","title":"Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets","created":"2021-06-07","cited_by_count":1,"area":null},{"id":"2203.00645","title":"Variational Autoencoders Without the Variation","created":"2022-03-01","cited_by_count":1,"area":null},{"id":"2203.05074","title":"The Transitive Information Theory and its Application to Deep Generative Models","created":"2022-03-09","cited_by_count":1,"area":null},{"id":"2210.08794","title":"Break The Spell Of Total Correlation In betaTCVAE","created":"2022-10-17","cited_by_count":1,"area":null},{"id":"2210.12409","title":"Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation","created":"2022-10-22","cited_by_count":1,"area":null},{"id":"2301.02275","title":"Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation","created":"2023-01-05","cited_by_count":1,"area":null},{"id":"2302.09976","title":"Discouraging posterior collapse in hierarchical Variational Autoencoders using context","created":"2023-02-20","cited_by_count":1,"area":null},{"id":"2310.07887","title":"Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2410.17005","title":"Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability","created":"2024-10-22","cited_by_count":1,"area":null},{"id":"2506.23374","title":"When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery","created":"2025-06-29","cited_by_count":1,"area":"diffusion"},{"id":"2603.28219","title":"Variational Neurons in Transformers for Language Modeling","created":"2026-03-30","cited_by_count":1,"area":null},{"id":"2605.05813","title":"A Testable Certificate for Constant Collapse in Teacher-Guided VAEs","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2605.22691","title":"Latent Spectroscopy: Posterior Collapse as a Feature","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2607.00461","title":"Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning","created":"2026-07-01","cited_by_count":1,"area":"lr"},{"id":"2102.00925","title":"Neural representation and generation for RNA secondary structures","created":"2021-02-01","cited_by_count":0,"area":null},{"id":"2103.11349","title":"Neighbor Embedding Variational Autoencoder","created":"2021-03-21","cited_by_count":0,"area":null},{"id":"2107.02228","title":"Meta-learning Amidst Heterogeneity and Ambiguity","created":"2021-07-05","cited_by_count":0,"area":null},{"id":"2107.05219","title":"CatVRNN: Generating Category Texts via Multi-task Learning","created":"2021-07-12","cited_by_count":0,"area":null},{"id":"2109.02950","title":"Paraphrase Generation as Unsupervised Machine Translation","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2110.07383","title":"The Neglected Sibling: Isotropic Gaussian Posterior for VAE","created":"2021-10-14","cited_by_count":0,"area":null},{"id":"2111.11055","title":"Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model","created":"2021-11-22","cited_by_count":0,"area":null},{"id":"2204.13678","title":"Unified Simulation, Perception, and Generation of Human Behavior","created":"2022-04-28","cited_by_count":0,"area":null},{"id":"2301.06626","title":"Masked Vector Quantization","created":"2023-01-16","cited_by_count":0,"area":null},{"id":"2303.12558","title":"Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees","created":"2023-03-22","cited_by_count":0,"area":null},{"id":"2308.00129","title":"Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2310.07440","title":"Distance Weighted Trans Network for Image Completion","created":"2023-10-11","cited_by_count":0,"area":null}],"next_cursor":"100"}