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Methodology
← Core Methods
Machine Learning
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Clustering
3615 directly classified papers
Papers per year
2000: 1
2001: 3
2002: 4
2003: 7
2004: 2
2005: 4
2006: 34
2007: 19
2008: 22
2009: 23
2010: 38
2011: 51
2012: 74
2013: 125
2014: 111
2015: 107
2016: 158
2017: 203
2018: 219
2019: 319
2020: 310
2021: 336
2022: 293
2023: 394
2024: 345
2025: 287
2026: 126
Papers
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
CVPR 2024
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
CVPR 2024
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances
ACL 2024
Unsupervised Domain Adaptation for Speech Emotion Recognition using K-Nearest Neighbors Voice Conversion
INTERSPEECH 2024
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs
EMNLP 2024
Well, what can you do with messy data? Exploring the prosody and pragmatic function of the discourse marker "well" with found data and speech synthesis
INTERSPEECH 2024
Community detection in the hypergraph stochastic block model and reconstruction on hypertrees
COLT 2024
Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance
EMNLP 2024
RoBERT2VecTM: A Novel Approach for Topic Extraction in Islamic Studies
EMNLP 2024
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models
EMNLP 2024
Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio
INTERSPEECH 2024
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
EMNLP 2024
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction
EMNLP 2024
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
EMNLP 2024
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation
EMNLP 2024
Topic Modeling: Contextual Token Embeddings Are All You Need
EMNLP 2024
The PGNSC Benchmark: How Do We Predict Where Information Spreads?
ACL 2024
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
COLT 2024
Computation-information gap in high-dimensional clustering
COLT 2024
Voices in a Crowd: Searching for clusters of unique perspectives
EMNLP 2024
Identification of mixtures of discrete product distributions in near-optimal sample and time complexity
COLT 2024
Story Morals: Surfacing value-driven narrative schemas using large language models
EMNLP 2024
Exploring Alignment in Shared Cross-lingual Spaces
ACL 2024
Gap-Free Clustering: Sensitivity and Robustness of SDP
COLT 2024
DRAGON at FIGNEWS 2024 Shared Task: a Dedicated RAG for October 7th conflict News
ACL 2024
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