ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model.
Chuyun DengMingxuan LiuYue QinJia ZhangHai-Xin DuanDonghong SunPublished in: NAACL-HLT (2022)
Keyphrases
- variable length
- language model
- n gram
- convolutional codes
- video codec
- fixed length
- distributed video coding
- error control
- low complexity
- language modeling
- bitstream
- bit rate
- rate distortion
- video coding
- rate allocation
- document retrieval
- probabilistic model
- query expansion
- turbo codes
- error concealment
- information retrieval
- retrieval model
- coding scheme
- entropy coding
- source coding
- ad hoc information retrieval
- motion estimation
- video compression
- context sensitive
- transform domain
- viterbi algorithm
- video quality
- error resilient
- macroblock
- error correction
- text classification
- information retrieval systems
- translation model
- mixture model
- packet loss