conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Core Methods
Machine Learning
›
Core Methods
›
Representation Learning
18,863 papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
Diffusion Actor-Critic with Entropy Regulator
NIPS 2024
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
NIPS 2024
Dissecting Query-Key Interaction in Vision Transformers
NIPS 2024
Taming the Long Tail in Human Mobility Prediction
NIPS 2024
Categorical Flow Matching on Statistical Manifolds
NIPS 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion
NIPS 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
NIPS 2024
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
NIPS 2024
DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
NIPS 2024
When does perceptual alignment benefit vision representations?
NIPS 2024
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
NIPS 2024
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
NIPS 2024
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
NIPS 2024
Deep Homomorphism Networks
NIPS 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
NIPS 2024
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
NIPS 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NIPS 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NIPS 2024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
NIPS 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
NIPS 2024
Learning on Large Graphs using Intersecting Communities
NIPS 2024
Learning De-Biased Representations for Remote-Sensing Imagery
NIPS 2024
Challenges of Generating Structurally Diverse Graphs
NIPS 2024
Where Do Large Learning Rates Lead Us?
NIPS 2024
Mixture of Nested Experts: Adaptive Processing of Visual Tokens
NIPS 2024
<
1
…
110
111
112
…
755
>