conftrace_

theoretical analysis

97 papers

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Co-occurring keywords

neural network (6616) learning theory (519) neural network optimization (1293) generative model (2892) attention mechanism (4001) representation learning (6206) language model (4599) transformer architecture (1560) gradient descent (1144) recurrent neural network (1790)

Papers

From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem NIPS 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning ACL 2024
Improved Sample Complexity Bounds for Diffusion Model Training NIPS 2024
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization IJCAI 2024
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023
Trade-off Between Efficiency and Consistency for Removal-based Explanations NIPS 2023
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation AAAI 2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks EACL 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels ICML 2023
On the Expressive Flexibility of Self-Attention Matrices AAAI 2023
Explaining Reinforcement Learning with Shapley Values ICML 2023
A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023
Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NIPS 2023
Defining a New NLP Playground EMNLP 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022
Estimation and Comparison of Linear Regions for ReLU Networks IJCAI 2022
A Tighter Analysis of Spectral Clustering, and Beyond ICML 2022
Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022
A Theoretical View on Sparsely Activated Networks NIPS 2022
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods AISTATS 2022