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Systematic Generalization

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ArminS03/CAREL

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CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives

https://github.com/HQ01/gSCAN_with_language_conditioned_embedding

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Systematic Generalization on gSCAN with Language Conditioned Embedding

https://github.com/Hritikbansal/MultivariateTimeSeries_Generalization

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Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models

https://github.com/IBM/cpg

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Compositional Program Generation for Few-Shot Systematic Generalization

https://github.com/LauraRuis/groundedSCAN

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A Benchmark for Systematic Generalization in Grounded Language Understanding

https://github.com/LauraRuis/multimodal_seq2seq_gSCAN

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A Benchmark for Systematic Generalization in Grounded Language Understanding

https://github.com/MrShininnnnn/CECW

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Revisit Systematic Generalization via Meaningful Learning

https://github.com/NVlabs/RelViT

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RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

https://github.com/Near32/Regym/tree/develop/benchmark/R2D2/SymbolicBehaviourBenchmark

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Meta-Referential Games to Learn Compositional Learning Behaviours

https://github.com/NicolasAG/SGinPG

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Measuring Systematic Generalization in Neural Proof Generation with Transformers

https://github.com/RobertCsordas/modules

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Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks

https://github.com/addtt/object-centric-library

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Generalization and Robustness Implications in Object-Centric Learning

https://github.com/amiroor/d3questiongenerationclevr

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D3: Data Diversity Design for Systematic Generalization in Visual Question Answering

https://github.com/atticusg/MoNLI

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Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation

https://github.com/backpropper/cbc-emecom

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Capacity, Bandwidth, and Compositionality in Emergent Language Learning

https://github.com/benbogin/glt-grounded-latent-trees-qa

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Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering

https://github.com/bergen/edgetransformer

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Systematic Generalization with Edge Transformers

https://github.com/berlino/tensor2struct-public

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Structured Reordering for Modeling Latent Alignments in Sequence Transduction

https://github.com/billptw/orchard

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ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning

https://github.com/chen123ctrls/t-cotmechanism

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Unveiling the Mechanisms of Explicit CoT Training: How CoT Enhances Reasoning Generalization

https://github.com/curiosai/graph_conjectures

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A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning

https://github.com/deepmind/deepmind-research

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Multi-Object Representation Learning with Iterative Variational Inference

https://github.com/ekinakyurek/lexical

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Lexicon Learning for Few-Shot Neural Sequence Modeling

https://github.com/elementai/lagr

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LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing

https://github.com/ema-marconato/reasoning-shortcuts

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Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

https://github.com/erg0dic/gnn-sg

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Systematic Reasoning About Relational Domains With Graph Neural Networks

https://github.com/eringrant/icml-2022-rules-vs-exemplars

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Distinguishing rule- and exemplar-based generalization in learning systems

https://github.com/facebookresearch/clutrr

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CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

https://github.com/facebookresearch/level-replay

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Prioritized Level Replay

https://github.com/facebookresearch/nle

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The NetHack Learning Environment

https://github.com/feng-yufei/ns-nli

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Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference

https://github.com/flavio2018/nesy23

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A Hybrid System for Systematic Generalization in Simple Arithmetic Problems

https://github.com/fujitsuresearch/hoi_sg

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HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models

https://github.com/fujitsuresearch/transformer_module_networks

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Transformer Module Networks for Systematic Generalization in Visual Question Answering

https://github.com/google-research/google-research/tree/master/ipagnn

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Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks

https://github.com/google-research/slot-attention-video

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Conditional Object-Centric Learning from Video

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