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Abhishek Kumar

45 papers · 2010–2025 · 16 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (16) πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ’Ž Century Club (45) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (198)

Conferences

NIPS (8) CVPR (6) ICLR (6) ACL (5) ICML (4) AISTATS (3) AAAI (2) EMNLP (2) SEMEVAL (2) ECCV (1) ICCV (1) INTERSPEECH (1) JMLR (1) MLHC (1) NAACL (1) NSDI (1)

Top co-authors

Rogerio Feris (6) Ben Poole (4) Piyush Rai (4) Wen-Sheng Chu (4) Prasanna Sattigeri (3) Hal Daume (3) Kristen Grauman (2) Stefano Ermon (2) Vidya Muthukumar (2) Ali Emami (2)

Keywords

neural network (4) sentiment analysis (4) generative model (3) large language model (3) support vector regression (3) image classification (2) group robustness (2) variational autoencoder (2) semi-supervised learning (2) generative adversarial network (2) worst-group accuracy (2) few-shot learning (2) spurious correlation (2) co-regularization (2) transfer learning (2) unsupervised learning (2) convolutional neural network (2) policy network (2) spectral clustering (1) binary classification (1)

Papers

RB-Modulation: Training-Free Stylization using Reference-Based Modulation ICLR 2025
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance EMNLP 2025
Wanda++: Pruning Large Language Models via Regional Gradients ACL 2025
Score-based Causal Representation Learning: Linear and General Transformations JMLR 2025
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ACL 2024
Detection of background agents speech in contact centers INTERSPEECH 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NIPS 2024
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models ACL 2024
Small-scale proxies for large-scale Transformer training instabilities ICLR 2024
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion CVPR 2024
Distributionally Robust Post-hoc Classifiers under Prior Shifts ICLR 2023
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering AAAI 2023
Tambur: Efficient loss recovery for videoconferencing via streaming codes NSDI 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations NIPS 2023
GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking CVPR 2022
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions ECCV 2022
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval ICCV 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
Risk score learning for COVID-19 contact tracing apps MLHC 2021
Implicit rate-constrained optimization of non-decomposable objectives ICML 2021
Generalized Adversarially Learned Inference AAAI 2021
Score-Based Generative Modeling through Stochastic Differential Equations ICLR 2021
On Implicit Regularization in $Ξ²$-VAEs ICML 2020
Weakly Supervised Disentanglement with Guarantees ICLR 2020
Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020
The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets SEMEVAL 2019
SpotTune: Transfer Learning Through Adaptive Fine-Tuning CVPR 2019
BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018
Knowledge-Enriched Two-Layered Attention Network for Sentiment Analysis NAACL 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations ICLR 2018
Co-regularized Alignment for Unsupervised Domain Adaptation NIPS 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition NIPS 2018
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis EMNLP 2017
Local Group Invariant Representations via Orbit Embeddings AISTATS 2017
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification CVPR 2017
S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference NIPS 2017
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text SEMEVAL 2017
Incorporating Relational Knowledge into Word Representations using Subspace Regularization ACL 2016
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation AISTATS 2016
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization ICML 2013
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Co-regularized Multi-view Spectral Clustering NIPS 2011
Co-regularization Based Semi-supervised Domain Adaptation NIPS 2010