conftrace_

autoregressive model

456 papers

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Co-occurring keywords

image generation (2073) generative model (2892) language model (4599) diffusion model (3751) large language model (13587) text generation (2913) variational autoencoder (1288) autoregressive generation (110) vector quantization (257) density estimation (398)

Papers

Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls IJCAI 2024
Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024
Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends ACL 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model INTERSPEECH 2024
BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings NAACL 2024
AMD: Autoregressive Motion Diffusion AAAI 2024
Alleviating Exposure Bias in Abstractive Summarization via Sequentially Generating and Revising COLING 2024
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? NAACL 2024
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation AAAI 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NIPS 2024
Autoregressive Score Generation for Multi-trait Essay Scoring EACL 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling NIPS 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction NIPS 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees AAAI 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NIPS 2024
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation AAAI 2024
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting NIPS 2023
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++ IJCAI 2023
Variational Annealing on Graphs for Combinatorial Optimization NIPS 2023
Causal normalizing flows: from theory to practice NIPS 2023
Token Turing Machines CVPR 2023
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints NIPS 2023
Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers ACL 2023
Reinforcement Learning with Simple Sequence Priors NIPS 2023