Theory
5,579 papers
Papers per year
1
2
3
3
9
4
32
25
33
25
39
38
47
78
67
80
103
156
267
383
486
592
713
822
805
612
154
2000
'5
'10
'15
'20
'25
Papers
On Finding Hubs in High Dimensions with Sampling
AAAI 2025
On Independence and SCC-Recursiveness in Assumption-Based Argumentation
IJCAI 2025
On Local Overfitting and Forgetting in Deep Neural Networks
AAAI 2025
On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint)
IJCAI 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
On Shallow Planning Under Partial Observability
AAAI 2025
On Temporal ASP with Eager Unfoldable Operators
IJCAI 2025
On the Approximation of Kernel functions
JMLR 2025
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
AAAI 2025
On the Completeness of Invariant Geometric Deep Learning Models
ICLR 2025
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries
AAAI 2025
On the expressiveness and spectral bias of KANs
ICLR 2025
On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth
ICLR 2025
On the Feature Learning in Diffusion Models
ICLR 2025
On the Generalization vs Fidelity Paradox in Knowledge Distillation
ACL 2025
On the Hardness of Learning One Hidden Layer Neural Networks
ALT 2025
On the Hardness of Training Deep Neural Networks Discretely
AAAI 2025
On the Interplay between Positional Encodings, Morphological Complexity, and Word Order Flexibility
IJCNLP 2025
On the Logic of Theory Base Change: Reformulation of Belief Bases
AAAI 2025
On the Optimal Memorization Capacity of Transformers
ICLR 2025
On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm
JMLR 2025
On the Power of Multitask Representation Learning with Gradient Descent
AISTATS 2025
On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings
ACL 2025
On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
ICLR 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
JMLR 2025