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research-papers
Awesome Research Papers
https://github.com/learn-anything/research-papers
Last synced: 4 days ago
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Artificial intelligence
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Big Data
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Category theory
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Compilers
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Computer science
- The Case for Learned Index Structures (2017)
- Squeak makes a good python debugger (2017)
- Dat - Distributed Dataset Synchronisation and Versioning (2017)
- Robots take over the world (2007)
- How complex systems fail
- How to make ad-hoc polymorphism less ad hoc
- Challenges to adopting stronger consistency at scale
- Naked objects
- Three measurement problems
- A hub-based labeling algorithm for shortest paths on road networks
- How and why software developers use drawings
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Computer vision
- An analysis of single-layer networks in unsupervised feature learning - Interesting paper about how using weaker classifiers (kmeans) can get comparable results to more sophisticated ones like deep neural nets with the decisions made before training a model like statistical whitening, picking a large number of features, etc.
- Viola jones robust real-time object detection - Real time face detection method most cameras use today, discusses ensemble learning methods (adaboost) and a clever way to detect features in one O(n) pre-processing step.
- Example-based photometric stereo: shape reconstruction with general, varying brdfs - Discusses how you can reconstruct an objects 3d shape just by analyzing how light reflects off an object's surface.
- Mask r-cnn
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Concurrency
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Databases
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Deep Learning
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Design
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Functional programming
- How to make ad-hoc polymorphism less ad hoc (1988)
- Lazy functional state threads (1994) - Accessible introduction to the machinery underneath ST and IO.
- The countdown problem (2002)
- Functional program to solve sudoku (2006)
- Infinite sets that admit fast exhaustive search (2007)
- Applicative programming with effects (2008)
- Data types a la carte (2008)
- Parallel Functional Arrays (2017)
- Trees that grow
- Super compilation by evaluation
- Cache Efficient Functional Algorithms
- Breaking through the normalisation barrier: a self-interpreter for f-omega
- Typed self-evaluation via intensional type functions
- Freer monads, more extensible effects
- The Genuine Sieve of Eratosthenes
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Garbage collection
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Haskell
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Machine Learning
- AutoAugment: Learning Augmentation Policies from Data (2018)
- Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017)
- Neural Machine Translation and Sequence-to-sequence Models: A Tutorial (2017)
- Deep voice: real-time neural text-to-speech (2017)
- Dropout: a simple way to prevent neural networks from overfitting (2014)
- A Unifying Review of Linear Gaussian Models (1998)
- Gaussian processes for big data
- Adversarial Patch
- A few useful things to know about machine learning
- The high-interest credit card of technical debt
- InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
- Deep voice: real-time neural text-to-speech (2017)
- Adversarial Patch
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Math
- Polynomial exact-3-sat solving algorithm
- The language and grammar of mathematics
- Comprehending Monads
- Notation as a tool of thought
- A Mathematical Theory of Communication
- Graph isomorphism in quasipolynomial time
- On proof and progress in mathematics
- Introduction to categories and categorical logic
- A notion of a computational step for partial combinatory algebras
- Reading mathematics
- Quotients homophones des groupes libres homophonic quotients of free groups
- A lagrangian dual approach to the generalized kyp lemma
- What is good mathematics? (2007)
- On the dimensionality of spacetime
- A cohomological viewpoint on elementary school arithmetic
- Beta reduction is invariant, indeed
- Sketch of a Programme
- A naturalist account of the limited, and hence reasonable, effectiveness of mathematics in physics (2015)
- Reading mathematics
- A beginner’s guide to forcing
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Neural networks
- Neural Ordinary Differential Equations (2018)
- Neural networks and deep learning
- Learning without forgetting
- Neural turing machine
- Densely connected convolutional networks
- Overcoming catastrophic forgetting in neural networks
- Pathnet: evolution channels gradient descent in super neural networks
- Pathnet: evolution channels gradient descent in super neural networks
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Operating systems
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Physics
- Hamiltonian for the zeros of the Riemann Zeta function (2016)
- General Relativity and Cosmology: Unsolved Questions and Future Directions (2016)
- There are no particles, there are only fields (2012)
- Would Bohr be born if Bohm were born before Born? (2007)
- The holographic solution - why general relativity must be understood in terms of strings (2004)
- Measurement of subpicosecond time intervals between two photons by Interference (1987)
- Bertlmann’s socks and the nature of reality (1981)
- More is different (1972)
- On the Einstein Podolsky Rosen Paradox (1964)
- Deterministic Nonperiodic Flow (1962)
- There's Plenty of Room at the Bottom (1959)
- Forms of Relativistic Dynamics (1949)
- What is life? (1944)
- Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? (1935)
- Possible Existence of a Neutron (1932)
- On the electrodynamics of moving bodies (1905)
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Programming languages
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Programming
- Scripting: higher level programming for the 21st century
- Notes on postmodern programming
- Recursive make considered harmful
- Kademlia: a peer-to-peer information system based on the xor metric
- Equal rights for functional objects or, the more things change, the more they are the same
- What every programmer should know about memory
- The c standard formalised in coq
- An analysis and survey of the development of Mutation testing
- The Purely Functional Software Deployment Model
- An analysis and survey of the development of Mutation testing
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Psychedelics
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Reverse engineering
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Security
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Statistics
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System design
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Type theory
- The Syntax and Semantics of Quantitative Type Theory (2018)
- Computational Higher Type Theory I: Abstract Cubical Realizability (2016)
- Cubical Type Theory: a constructive interpretation of the univalence axiom (2016)
- Lambda Calculi with Types (1992)
- Propositions as types
- The derivative of a regular type is its type of one-hole contexts
- On the meanings of the logical constants and the justifications of the logical laws
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Virtualization
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Web
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Other
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Related
- arXiv
- Papers we love
- Google Brain Team
- Inspire
- PLOS
- Apple Machine Learning Research
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Categories
Math
20
Physics
16
Functional programming
15
Related
14
Machine Learning
13
Computer science
11
Programming
10
Neural networks
8
Artificial intelligence
7
Type theory
7
Computer vision
4
Compilers
4
Psychedelics
3
Garbage collection
2
Security
2
Operating systems
2
Category theory
2
System design
1
Reverse engineering
1
Statistics
1
Big Data
1
Virtualization
1
Concurrency
1
Haskell
1
Web
1
Databases
1
Design
1
Programming languages
1
Deep Learning
1
Other
1
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