Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
ACL 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs
AAAI 2025
From Stories to Statistics: Methodological Biases in LLM-Based Narrative Flow Quantification
CONLL 2025
List Update with Prediction
AAAI 2025
Theoretical Analysis of Hierarchical Language Recognition and Generation by Transformers without Positional Encoding
ACL 2025
A Many-Objective Problem Where Crossover Is Provably Indispensable
AAAI 2025
Empowering LLMs with Logical Reasoning: A Comprehensive Survey
IJCAI 2025
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions
JMLR 2025
SPACETIME: Causal Discovery from Non-Stationary Time Series
AAAI 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
AAAI 2025
Biological Sequence Kernels with Guaranteed Flexibility
JMLR 2025
LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs
ICCV 2025
Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
ICCV 2025
SPD: Shallow Backdoor Protecting Deep Backdoor Against Backdoor Detection
ICCV 2025
On Effects of Steering Latent Representation for Large Language Model Unlearning
AAAI 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
AAAI 2025
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?
AAAI 2025
GeoGuide: Geometric Guidance of Diffusion Models
WACV 2025
A Theory of Formalisms for Representing Knowledge
AAAI 2025
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
JMLR 2025
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
AAAI 2025
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
AAAI 2025
Uncertainty-Aware Contrastive Decoding
ACL 2025
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations
ACL 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
<
1
…
8
9
10
…
198
>