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Prediction with a Short Memory
v1v2v3v4v5 (latest)

Prediction with a Short Memory

8 December 2016
Willie Neiswanger
Sham Kakade
Abigail Z. Jacobs
Gregory Valiant
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Prediction with a Short Memory"

14 / 14 papers shown
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
Julianna Piskorz
Cristina Pinneri
Alvaro H.C. Correia
Motasem Alfarra
Risheek Garrepalli
Christos Louizos
DiffM
212
1
0
26 Nov 2025
Prediction from compression for models with infinite memory, with
  applications to hidden Markov and renewal processes
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes
Yanjun Han
Tianze Jiang
Yihong Wu
220
1
0
23 Apr 2024
BatchPrompt: Accomplish more with less
BatchPrompt: Accomplish more with lessInternational Conference on Learning Representations (ICLR), 2023
Jianzhe Lin
Maurice Diesendruck
Liang Du
Robin Abraham
LRM
351
14
0
01 Sep 2023
Morphosyntactic probing of multilingual BERT models
Morphosyntactic probing of multilingual BERT modelsNatural Language Engineering (NLE), 2023
Judit Ács
Endre Hamerlik
Roy Schwartz
Noah A. Smith
András Kornai
188
17
0
09 Jun 2023
RankGen: Improving Text Generation with Large Ranking Models
RankGen: Improving Text Generation with Large Ranking ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kalpesh Krishna
Yapei Chang
John Wieting
Mohit Iyyer
AIMat
335
79
0
19 May 2022
Planning in Observable POMDPs in Quasipolynomial Time
Planning in Observable POMDPs in Quasipolynomial Time
Noah Golowich
Ankur Moitra
Dhruv Rohatgi
240
27
0
12 Jan 2022
Learning what to remember
Learning what to rememberInternational Conference on Algorithmic Learning Theory (ALT), 2022
Robi Bhattacharjee
G. Mahajan
CLLKELM
138
0
0
11 Jan 2022
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine
  Learning Models
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
268
3
0
06 Oct 2021
Do Long-Range Language Models Actually Use Long-Range Context?
Do Long-Range Language Models Actually Use Long-Range Context?
Simeng Sun
Kalpesh Krishna
Andrew Mattarella-Micke
Mohit Iyyer
RALM
250
99
0
19 Sep 2021
DenseHMM: Learning Hidden Markov Models by Learning Dense
  Representations
DenseHMM: Learning Hidden Markov Models by Learning Dense RepresentationsInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2020
Joachim Sicking
Maximilian Pintz
Maram Akila
Tim Wirtz
208
3
0
17 Dec 2020
Learning Deterministic Weighted Automata with Queries and
  Counterexamples
Learning Deterministic Weighted Automata with Queries and CounterexamplesNeural Information Processing Systems (NeurIPS), 2019
Gail Weiss
Yoav Goldberg
Eran Yahav
TPM
261
48
0
30 Oct 2019
Universal Approximation of Input-Output Maps by Temporal Convolutional
  Nets
Universal Approximation of Input-Output Maps by Temporal Convolutional NetsNeural Information Processing Systems (NeurIPS), 2019
Joshua Hanson
Maxim Raginsky
AI4TS
112
7
0
21 Jun 2019
Learning to Collaborate in Markov Decision Processes
Learning to Collaborate in Markov Decision Processes
Goran Radanović
R. Devidze
David C. Parkes
Adish Singla
232
34
0
23 Jan 2019
Learning Overcomplete HMMs
Learning Overcomplete HMMs
Willie Neiswanger
Sham Kakade
Abigail Z. Jacobs
Gregory Valiant
193
23
0
07 Nov 2017
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