Cover Image

MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Moskvoretskii, Viktor, Osin, Dmitry, Shvetsov, Egor, Udovichenko, Igor, Zhelnin, Maxim, Dukhovny, Andrey, Zhimerikina, Anna, Burnaev, Evgeny
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EBES: Easy Benchmarking for Event Sequences
by: Osin, Dmitry, et al.
Published: (2024)

SeqNAS: Neural Architecture Search for Event Sequence Classification
by: Udovichenko, Igor, et al.
Published: (2024)

How to model Human Actions distribution with Event Sequence Data
by: Surkov, Egor, et al.
Published: (2025)

GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
by: Zhelnin, Maxim, et al.
Published: (2024)

Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models
by: Kharinaev, Artyom, et al.
Published: (2025)

Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
by: Alanova, Shirin, et al.
Published: (2025)

QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
by: Shvetsov, Egor, et al.
Published: (2022)

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction
by: Maximov, Egor, et al.
Published: (2025)

Risk-Averse Reinforcement Learning with Itakura-Saito Loss
by: Udovichenko, Igor, et al.
Published: (2025)

From Internal Representations to Text Quality: A Geometric Approach to LLM Evaluation
by: Yusupov, Viacheslav, et al.
Published: (2025)

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
by: Anokhin, Petr, et al.
Published: (2024)

Challenges of Multi-Modal Coreset Selection for Depth Prediction
by: Moskvoretskii, Viktor, et al.
Published: (2025)

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
by: Kolesov, Alexander, et al.
Published: (2023)

Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
by: Razzhigaev, Anton, et al.
Published: (2025)

Estimating Barycenters of Distributions with Neural Optimal Transport
by: Kolesov, Alexander, et al.
Published: (2024)

Beyond Early-Token Bias: Model-Specific and Language-Specific Position Effects in Multilingual LLMs
by: Menschikov, Mikhail, et al.
Published: (2025)

The Density of Cross-Persistence Diagrams and Its Applications
by: Mironenko, Alexander, et al.
Published: (2026)

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs
by: Zhelnin, Maxim, et al.
Published: (2025)

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
by: Persiianov, Mikhail, et al.
Published: (2024)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
by: Tarasov, Roman, et al.
Published: (2025)

Tracing Persona Vectors Through LLM Pretraining
by: Moskvoretskii, Viktor, et al.
Published: (2026)

Disentanglement Learning via Topology
by: Balabin, Nikita, et al.
Published: (2023)

RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
by: Tulchinskii, Eduard, et al.
Published: (2025)

Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
by: Karpukhin, Ivan, et al.
Published: (2024)

Evolutionary Search for Automated Design of Uncertainty Quantification Methods
by: Seleznyov, Mikhail, et al.
Published: (2026)

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme
by: Persiianov, Mikhail, et al.
Published: (2025)

Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
by: Chekalina, Viktoriia, et al.
Published: (2025)

Conditional Probability formula as a consequence of the Insufficient Reason Principle
by: Dukhovny, Alexander
Published: (2025)

Relative Divergence and Maximum Relative Divergence Principle for Grading Functions on Partially Ordered Sets
by: Dukhovny, Alexander
Published: (2025)

Definition formula for probabilities of independent events as a consequence of the Insufficient Reason Principle
by: Dukhovny, Alexander
Published: (2025)

Token Homogenization under Positional Bias
by: Yusupov, Viacheslav, et al.
Published: (2025)

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning
by: Huang, Jianan, et al.
Published: (2026)

G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration
by: Khafizov, Ramil, et al.
Published: (2025)

On the practical applicability of modern DFT functionals for chemical computations. Case study of DM21 applicability for geometry optimization
by: Kulaev, Kirill, et al.
Published: (2025)

MEEL: Multi-Modal Event Evolution Learning
by: Tao, Zhengwei, et al.
Published: (2024)

Multimodal Banking Dataset: Understanding Client Needs through Event Sequences
by: Mollaev, Dzhambulat, et al.
Published: (2024)

Self-Taught Self-Correction for Small Language Models
by: Moskvoretskii, Viktor, et al.
Published: (2025)

LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
by: Fadeev, Egor, et al.
Published: (2025)

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
by: Rolf, Esther, et al.
Published: (2024)

MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
by: Guo, Xu, et al.
Published: (2025)