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TF-Coder: Program Synthesis for Tensor Manipulations

https://doi.org/10.1145/3517034
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-21690-4_23openalex-snapshot
Predicting a Correct Program in Programming by Example
inferredcites →https://doi.org/10.1007/s10009-012-0249-7openalex-snapshot
Program sketching
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1108/00220410410560573openalex-snapshot
A statistical interpretation of term specificity and its application in retrieval
inferredcites →https://doi.org/10.1108/eb026526openalex-snapshot
A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL
inferredcites →https://doi.org/10.1109/fmcad.2013.6679385openalex-snapshot
Syntax-guided synthesis
inferredcites →https://doi.org/10.1145/1168857.1168907openalex-snapshot
Combinatorial sketching for finite programs
inferredcites →https://doi.org/10.1145/1925844.1926423openalex-snapshot
Automating string processing in spreadsheets using input-output examples
inferredcites →https://doi.org/10.1145/1926385.1926423openalex-snapshot
Automating string processing in spreadsheets using input-output examples
inferredcites →https://doi.org/10.1145/2025113.2025153openalex-snapshot
Synthesizing data structure manipulations from storyboards
inferredcites →https://doi.org/10.1145/2240236.2240260openalex-snapshot
Spreadsheet data manipulation using examples
inferredcites →https://doi.org/10.1145/2451116.2451150openalex-snapshot
Stochastic superoptimization
inferredcites →https://doi.org/10.1145/2487575.2487629openalex-snapshot
Auto-WEKA
inferredcites →https://doi.org/10.1145/2491956.2462174openalex-snapshot
TRANSIT
inferredcites →https://doi.org/10.1145/2594291.2594333openalex-snapshot
FlashExtract
inferredcites →https://doi.org/10.1145/2737924.2737977openalex-snapshot
Synthesizing data structure transformations from input-output examples
inferredcites →https://doi.org/10.1145/2908080.2908093openalex-snapshot
Program synthesis from polymorphic refinement types
inferredcites →https://doi.org/10.1145/2908080.2908102openalex-snapshot
MapReduce program synthesis
inferredcites →https://doi.org/10.1145/2939672.2945397openalex-snapshot
CNTK
inferredcites →https://doi.org/10.1145/2980983.2908093openalex-snapshot
Program synthesis from polymorphic refinement types
inferredcites →https://doi.org/10.1145/3133886openalex-snapshot
Synthesis of data completion scripts using finite tree automata
inferredcites →https://doi.org/10.1145/3158151openalex-snapshot
Program synthesis using abstraction refinement
inferredcites →https://doi.org/10.1145/3192366.3192410openalex-snapshot
Accelerating search-based program synthesis using learned probabilistic models
inferredcites →https://doi.org/10.1145/3290386openalex-snapshot
FrAngel: component-based synthesis with control structures
inferredcites →https://doi.org/10.1145/3359591.3359735openalex-snapshot
The adverse effects of code duplication in machine learning models of code
inferredcites →https://doi.org/10.1145/3360594openalex-snapshot
AutoPandas: neural-backed generators for program synthesis
inferredcites →https://doi.org/10.1145/3360601openalex-snapshot
AL: autogenerating supervised learning programs
inferredcites →https://doi.org/10.1145/3428295openalex-snapshot
Just-in-time learning for bottom-up enumerative synthesis
inferredcites →https://doi.org/10.1145/360248.360252openalex-snapshot
Symbolic execution and program testing
inferredcites →https://doi.org/10.1145/5666.5673openalex-snapshot
How not to lie with statistics: the correct way to summarize benchmark results
inferredcites →https://doi.org/10.1162/tacl_a_00339openalex-snapshot
Sketch-Driven Regular Expression Generation from Natural Language and Examples
inferredcites →https://doi.org/10.14778/2977797.2977807openalex-snapshot
BlinkFill
inferredcites →https://doi.org/10.1561/2500000010openalex-snapshot
Program Synthesis
inferredcites →https://doi.org/10.3233/978-1-61499-495-4-1openalex-snapshot
Syntax-Guided Synthesis
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1211.5063openalex-snapshot
On the difficulty of training Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1512.01274openalex-snapshot
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
inferredcites →https://doi.org/10.48550/arxiv.1605.08695openalex-snapshot
TensorFlow: A system for large-scale machine learning
inferredcites →https://doi.org/10.48550/arxiv.1611.01578openalex-snapshot
Neural Architecture Search with Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1611.01989openalex-snapshot
DeepCoder: Learning to Write Programs
inferredcites →https://doi.org/10.48550/arxiv.1703.07469openalex-snapshot
RobustFill: Neural Program Learning under Noisy I/O
inferredcites →https://doi.org/10.48550/arxiv.1710.07740openalex-snapshot
Program Synthesis using Abstraction Refinement
inferredcites →https://doi.org/10.48550/arxiv.1908.05848openalex-snapshot
Sketch-Driven Regular Expression Generation from Natural Language and Examples
inferredcites →https://doi.org/10.48550/arxiv.1912.12345openalex-snapshot
Synthetic Datasets for Neural Program Synthesis
inferredcites →https://doi.org/10.5555/1855741.1855756openalex-snapshot
KLEE: unassisted and automatic generation of high-coverage tests for complex systems programs
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.7916/d89k4k6xopenalex-snapshot
Inferring LISP Programs from Examples

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-32157-3_7openalex-snapshot
WikiCoder: Learning to Write Knowledge-Powered Code
inferred← citeshttps://doi.org/10.1007/s10515-022-00331-3openalex-snapshot
Can we generate shellcodes via natural language? An empirical study
inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200466openalex-snapshot
Artificial intelligence in digital image processing: A bibliometric analysis
inferred← citeshttps://doi.org/10.1109/pact58117.2023.00012openalex-snapshot
mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR Using Program Synthesis
inferred← citeshttps://doi.org/10.1145/3485530openalex-snapshot
LooPy: interactive program synthesis with control structures
inferred← citeshttps://doi.org/10.1145/3528588.3528653openalex-snapshot
Can NMT understand me?
inferred← citeshttps://doi.org/10.1145/3597503.3639121openalex-snapshot
Fuzz4All: Universal Fuzzing with Large Language Models
inferred← citeshttps://doi.org/10.1145/3611643.3616337openalex-snapshot
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
inferred← citeshttps://doi.org/10.1145/3624007.3624053openalex-snapshot
C2TACO: Lifting Tensor Code to TACO
inferred← citeshttps://doi.org/10.1145/3656453openalex-snapshot
Equivalence by Canonicalization for Synthesis-Backed Refactoring
inferred← citeshttps://doi.org/10.1145/3676642.3736118openalex-snapshot
Syno: Structured Synthesis for Neural Operators
inferred← citeshttps://doi.org/10.1145/3691620.3695503openalex-snapshot
Contextualized Data-Wrangling Code Generation in Computational Notebooks
inferred← citeshttps://doi.org/10.1145/3696443.3708956openalex-snapshot
Tensorize: Fast Synthesis of Tensor Programs from Legacy Code using Symbolic Tracing, Sketching and Solving
inferred← citeshttps://doi.org/10.1145/3729264openalex-snapshot
Programming by Navigation
inferred← citeshttps://doi.org/10.1145/3729330openalex-snapshot
Guided Tensor Lifting
inferred← citeshttps://doi.org/10.1145/3771775.3786281openalex-snapshot
Accelerating Sparse Algebra with Program Synthesis
inferred← citeshttps://doi.org/10.1609/aaai.v36i6.20616openalex-snapshot
Scaling Neural Program Synthesis with Distribution-Based Search
inferred← citeshttps://doi.org/10.1609/socs.v15i1.21749openalex-snapshot
Portability and Explainability of Synthesized Formula-based Heuristics
inferred← citeshttps://doi.org/10.1613/jair.1.14394openalex-snapshot
Program Synthesis with Best-First Bottom-Up Search
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.9openalex-snapshot
Natural Language to Code Generation in Interactive Data Science Notebooks
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.312openalex-snapshot
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL
inferred← citeshttps://doi.org/10.21105/joss.04151openalex-snapshot
DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search
inferred← citeshttps://doi.org/10.48550/arxiv.2012.12964openalex-snapshot
Representing Partial Programs with Blended Abstract Semantics
inferred← citeshttps://doi.org/10.48550/arxiv.2109.12075openalex-snapshot
Towards A Measure Of General Machine Intelligence
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.