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Generating Sentences from a Continuous Space

Generating Sentences from a Continuous Space

19 November 2015
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
    DRL
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Papers citing "Generating Sentences from a Continuous Space"

50 / 326 papers shown
Title
LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
Antonio A. Ginart
Naveen Kodali
J. Lee
Caiming Xiong
S.
John Emmons
29
0
0
28 Apr 2025
LangVAE and LangSpace: Building and Probing for Language Model VAEs
LangVAE and LangSpace: Building and Probing for Language Model VAEs
Danilo S. Carvalho
Yingji Zhang
Harriet Unsworth
André Freitas
36
0
0
29 Mar 2025
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration
Alicia Russell-Gilbert
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph E. Jabour
Thomas Arnold
Joshua Church
41
0
0
04 Mar 2025
Superpose Singular Features for Model Merging
Superpose Singular Features for Model Merging
Haiquan Qiu
You Wu
Quanming Yao
MoMe
43
0
0
15 Feb 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
Mehdi Ben Ghali
R. Bellafqira
G. Coatrieux
AAML
FedML
43
0
0
21 Jan 2025
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
Yifan Zhang
Junhui Hou
64
1
0
03 Jan 2025
Embodied Active Learning of Generative Sensor-Object Models
Embodied Active Learning of Generative Sensor-Object Models
Allison Pinosky
Todd D. Murphey
LM&Ro
26
1
0
14 Oct 2024
AI-based particle track identification in scintillating fibres read out with imaging sensors
AI-based particle track identification in scintillating fibres read out with imaging sensors
Noemi Bührer
Saúl Alonso-Monsalve
Matthew Franks
Till Dieminger
D. Sgalaberna
26
0
0
14 Oct 2024
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani
Josue Nassar
Hyungju Jeon
Matthew Dowling
Il Memming Park
29
1
0
07 Oct 2024
Detecting Machine-Generated Long-Form Content with Latent-Space
  Variables
Detecting Machine-Generated Long-Form Content with Latent-Space Variables
Yufei Tian
Zeyu Pan
Nanyun Peng
DeLMO
23
0
0
04 Oct 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using
  Spanning Trees
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
Alexia Jolicoeur-Martineau
A. Baratin
Kisoo Kwon
Boris Knyazev
Yan Zhang
36
1
0
12 Jul 2024
A Pattern Language for Machine Learning Tasks
A Pattern Language for Machine Learning Tasks
Benjamin Rodatz
Ian Fan
Tuomas Laakkonen
Neil John Ortega
Thomas Hoffman
Vincent Wang-Ma'scianica
56
3
0
02 Jul 2024
Enhancing Clinical Documentation with Synthetic Data: Leveraging
  Generative Models for Improved Accuracy
Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
Anjanava Biswas
Wrick Talukdar
SyDa
16
6
0
03 Jun 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
95
21
0
15 May 2024
Effective Unsupervised Constrained Text Generation based on Perturbed
  Masking
Effective Unsupervised Constrained Text Generation based on Perturbed Masking
Yingwen Fu
Wenjie Ou
Zhou Yu
Yue Lin
23
1
0
24 Apr 2024
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence
Zhecheng Sheng
Tianhao Zhang
Chen Jiang
Dongyeop Kang
19
5
0
28 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha
Thomas Lukasiewicz
DRL
30
2
0
01 Dec 2023
Matching aggregate posteriors in the variational autoencoder
Matching aggregate posteriors in the variational autoencoder
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
23
4
0
13 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training
Boosting Summarization with Normalizing Flows and Aggressive Training
Yu Yang
Xiaotong Shen
AI4CE
TPM
17
0
0
01 Nov 2023
netFound: Foundation Model for Network Security
netFound: Foundation Model for Network Security
Satyandra Guthula
Navya Battula
Roman Beltiukov
Wenbo Guo
Arpit Gupta
Inder Monga
21
14
0
25 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian
  Inference
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
Siqi Kou
Lei Gan
Dequan Wang
Chongxuan Li
Zhijie Deng
BDL
DiffM
21
7
0
17 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
OOD
60
2
0
16 Oct 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation
Multimodal Variational Auto-encoder based Audio-Visual Segmentation
Yuxin Mao
Jing Zhang
Mochu Xiang
Yiran Zhong
Yuchao Dai
35
34
0
12 Oct 2023
Text Embeddings Reveal (Almost) As Much As Text
Text Embeddings Reveal (Almost) As Much As Text
John X. Morris
Volodymyr Kuleshov
Vitaly Shmatikov
Alexander M. Rush
RALM
26
94
0
10 Oct 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong
Weidong Cao
Muhan Zhang
Dacheng Tao
Yixin Chen
Xuan Zhang
GNN
34
30
0
31 Aug 2023
Neural Categorical Priors for Physics-Based Character Control
Neural Categorical Priors for Physics-Based Character Control
Qing Zhu
He Zhang
Mengting Lan
Lei Han
19
32
0
14 Aug 2023
Feature-aware conditional GAN for category text generation
Feature-aware conditional GAN for category text generation
Xinze Li
K. Mao
Fanfan Lin
Zijian Feng
GAN
21
15
0
02 Aug 2023
A Geometric Notion of Causal Probing
A Geometric Notion of Causal Probing
Clément Guerner
Anej Svete
Tianyu Liu
Alex Warstadt
Ryan Cotterell
LLMSV
38
12
0
27 Jul 2023
Controllable Data Augmentation for Few-Shot Text Mining with
  Chain-of-Thought Attribute Manipulation
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
Letian Peng
Yuwei Zhang
Jingbo Shang
LRM
16
7
0
14 Jul 2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Kenta Oono
Nontawat Charoenphakdee
K. Bito
Zhengyan Gao
Yoshiaki Ota
...
Kohei Hayashi
Yuki Saito
Koki Tsuda
Hiroshi Maruyama
K. Hayashi
30
1
0
19 Jun 2023
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
Chulun Zhou
Yunlong Liang
Fandong Meng
Jinan Xu
Jinsong Su
Jie Zhou
VLM
21
4
0
13 May 2023
How good are variational autoencoders at transfer learning?
How good are variational autoencoders at transfer learning?
Lisa Bonheme
M. Grzes
OOD
DRL
23
2
0
21 Apr 2023
Learn What Is Possible, Then Choose What Is Best: Disentangling
  One-To-Many Relations in Language Through Text-based Games
Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games
Benjamin Towle
Ke Zhou
SyDa
17
4
0
14 Apr 2023
ChiroDiff: Modelling chirographic data with Diffusion Models
ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
DiffM
24
10
0
07 Apr 2023
On the Creativity of Large Language Models
On the Creativity of Large Language Models
Giorgio Franceschelli
Mirco Musolesi
72
51
0
27 Mar 2023
Learning towards Selective Data Augmentation for Dialogue Generation
Learning towards Selective Data Augmentation for Dialogue Generation
Xiuying Chen
Mingzhe Li
Jiayi Zhang
Xiaoqiang Xia
Chen Wei
Jianwei Cui
Xin Gao
Xiangliang Zhang
Rui Yan
30
7
0
17 Mar 2023
Proactive Prioritization of App Issues via Contrastive Learning
Proactive Prioritization of App Issues via Contrastive Learning
Moghis Fereidouni
A. Mosharrof
Umar Farooq
A. B. Siddique
23
4
0
12 Mar 2023
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Jiacheng Li
Longhui Wei
Zongyuan Zhan
Xinfu He
Siliang Tang
Qi Tian
Yueting Zhuang
19
4
0
07 Mar 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders
  using context
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDL
DRL
20
1
0
20 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y
  Aplicaciones
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones
J. D. L. Torre
DRL
15
1
0
18 Feb 2023
Explaining text classifiers through progressive neighborhood
  approximation with realistic samples
Explaining text classifiers through progressive neighborhood approximation with realistic samples
Yi Cai
Arthur Zimek
Eirini Ntoutsi
Gerhard Wunder
AI4TS
22
0
0
11 Feb 2023
CAB: Empathetic Dialogue Generation with Cognition, Affection and
  Behavior
CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior
Pan Gao
Donghong Han
Rui Zhou
Xuejiao Zhang
Zikun Wang
23
7
0
03 Feb 2023
A Multi-Resolution Framework for U-Nets with Applications to
  Hierarchical VAEs
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Fabian Falck
Christopher Williams
D. Danks
George Deligiannidis
C. Yau
Chris Holmes
Arnaud Doucet
M. Willetts
16
7
0
19 Jan 2023
eVAE: Evolutionary Variational Autoencoder
eVAE: Evolutionary Variational Autoencoder
Zhangkai Wu
LongBing Cao
Lei Qi
BDL
DRL
25
10
0
01 Jan 2023
KL Regularized Normalization Framework for Low Resource Tasks
KL Regularized Normalization Framework for Low Resource Tasks
Neeraj Kumar
Ankur Narang
Brejesh Lall
21
1
0
21 Dec 2022
Variational Laplace Autoencoders
Variational Laplace Autoencoders
Yookoon Park
C. Kim
Gunhee Kim
BDL
DRL
20
21
0
30 Nov 2022
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal
  Language Models
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models
Hao Liu
Xinyang Geng
Lisa Lee
Igor Mordatch
Sergey Levine
Sharan Narang
Pieter Abbeel
KELM
CLL
33
2
0
24 Oct 2022
Investigation of chemical structure recognition by encoder-decoder
  models in learning progress
Investigation of chemical structure recognition by encoder-decoder models in learning progress
Katsuhisa Morita
T. Mizuno
Hiroyuki Kusuhara
19
8
0
24 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in
  Transformer-Based Variational AutoEncoder for Diverse Text Generation
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xingxu Xie
DRL
19
0
0
22 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
32
8
0
20 Oct 2022
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