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Theory

4950 directly classified papers

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Papers

Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories IJCAI 2024
Approximate Attributions for Off-the-Shelf Siamese Transformers EACL 2024
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NIPS 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks NIPS 2024
hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English) NAACL 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024
BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues NAACL 2024
On the Ability of Developers' Training Data Preservation of Learnware NIPS 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024
Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages NAACL 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NIPS 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024
The Elephant in the Room: Ten Challenges of Computational Detection of Rhetorical Figures NAACL 2024
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases NAACL 2024
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games AAAI 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NIPS 2024
Schroedinger’s Threshold: When the AUC Doesn’t Predict Accuracy COLING 2024
Dense Associative Memory Through the Lens of Random Features NIPS 2024
The Relative Clauses AMR Parsers Hate Most COLING 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models AISTATS 2024
Evaluating the design space of diffusion-based generative models NIPS 2024
Analysis of Using Sigmoid Loss for Contrastive Learning AISTATS 2024
On the Faithfulness of Vision Transformer Explanations CVPR 2024