Nebojsa Jojic
34 papers · 2009–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(13)
π
Keyword Trendsetter Combo
(4)
π±
Topic Pioneer
π
Keyword Champion
(2)
π
Grand Slam
π
Century Club
(33)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
π₯
Unstoppable
(10)
β
The Questioner
ποΈ
Keyword Collector
(162)
Conferences
NIPS (8)
CVPR (5)
ACL (4)
EMNLP (3)
ICLR (3)
ICML (3)
EACL (2)
AAAI (1)
AISTATS (1)
ECCV (1)
ICCV (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
large language model
(5)
generative model
(4)
semantic segmentation
(3)
scene recognition
(2)
land cover mapping
(2)
text generation
(2)
heavy-tailed distribution
(2)
topic modeling
(2)
cumulative distribution function
(2)
dialogue system
(2)
remote sensing
(2)
language model
(2)
variational inference
(1)
path planning
(1)
representation learning
(1)
domain generalization
(1)
approximate inference
(1)
penalty parameter
(1)
model compression
(1)
image segmentation
(1)
Papers
Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge
EACL 2026
fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
EMNLP 2025
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
ICML 2024
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
ICLR 2024
Investigating Agency of LLMs in Human-AI Collaboration Tasks
EACL 2024
ThinkSum: Probabilistic reasoning over sets using large language models
ACL 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
NIPS 2023
Diffusion Models as Plug-and-Play Priors
NIPS 2022
Resolving label uncertainty with implicit posterior models
UAI 2022
Coherence boosting: When your pretrained language model is not paying enough attention
ACL 2022
Multi-Label Learning From Single Positive Labels
CVPR 2021
Studying word order through iterative shuffling
EMNLP 2021
GPT Perdetry Test: Generating new meanings for new words
NAACL 2021
Local Context Normalization: Revisiting Local Normalization
CVPR 2020
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
ACL 2020
Mining self-similarity: Label super-resolution with epitomic representations
ECCV 2020
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
ICLR 2020
Label super-resolution networks
ICLR 2019
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
CVPR 2019
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
ACL 2018
WSNet: Compact and Efficient Networks Through Weight Sampling
ICML 2018
Summarization and Classification of Wearable Camera Streams by Learning the Distributions Over Deep Features of Out-Of-Sample Image Sequences
ICCV 2017
Steering Output Style and Topic in Neural Response Generation
EMNLP 2017
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting
CVPR 2017
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
NIPS 2016
Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid
CVPR 2013
A Comparative Framework for Preconditioned Lasso Algorithms
NIPS 2013
Efficient Ranking from Pairwise Comparisons
ICML 2013
Documents as multiple overlapping windows into grids of counts
NIPS 2013
Exact inference and learning for cumulative distribution functions on loopy graphs
NIPS 2010
Structural epitome: a way to summarize oneβs visual experience
NIPS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs
AISTATS 2010
Free energy score space
NIPS 2009