sungsoo-ahn / learning_what_to_defer

Related projects ⓘ

Alternatives and complementary repositories for learning_what_to_defer

• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆15Updated 3 months ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆55Updated last year
• DIMESTeam / DIMES
  ☆39Updated 5 months ago
• maxwshen / gflownet
  ☆14Updated last year
• ha0ransun / Path-Auxiliary-Sampler
  ☆10Updated last year
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated 11 months ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆15Updated 2 years ago
• ralphabb / GNN-RNI
  The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
  ☆18Updated 3 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆24Updated 3 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆44Updated 2 years ago
• lamda-bbo / offline-moo
  Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
  ☆16Updated last month
• gnobitab / MultiObjectiveSampling
  ☆16Updated 2 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆45Updated 4 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆26Updated 3 months ago
• idea-iitd / GCOMB
  ☆32Updated last year
• Thinklab-SJTU / ROCO
  Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graph…
  ☆20Updated 3 weeks ago
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆37Updated 3 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆76Updated last year
• hsjang0 / LED-GFN
  Learning energy decompositions for partial inference in GFlowNets
  ☆15Updated 5 months ago
• kaist-silab / devformer
  [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
  ☆18Updated last year
• haotang1995 / IterGNN
  Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)
  ☆18Updated 3 years ago
• eric-mitchell / macaw-min
  Clean, extensible implementation of MACAW [ICML 2021]
  ☆11Updated 2 years ago
• siddarthk97 / bonet
  ☆10Updated 2 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆23Updated 8 months ago
• alstn12088 / Sym-NCO
  ☆25Updated 9 months ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 3 years ago
• gbarcik / graphnets
  Extending the Neural Graph Algorithm Executor
  ☆13Updated last year
• huaxiuyao / HSML_Dynamic
  HSML Dynamic version for ICML 2019
  ☆12Updated 5 years ago
• phython96 / GNAS-MP
  Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)
  ☆52Updated 2 years ago
• emreyolcu / sat
  Learning local search heuristics for Boolean satisfiability
  ☆37Updated 6 months ago