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← Authors

Abhishek Kumar

46 papers · 2010–2026 · 16 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🌍 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) ACL (6) CVPR (6) ICLR (6) 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)

Research topics

Reasoning (1)

Keywords

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

Papers

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding ACL 2026 RB-Modulation: Training-Free Stylization using Reference-Based Modulation ICLR 2025 Wanda++: Pruning Large Language Models via Regional Gradients ACL 2025 Score-based Causal Representation Learning: Linear and General Transformations JMLR 2025 FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance EMNLP 2025 Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models ACL 2024 Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ACL 2024 Detection of background agents speech in contact centers INTERSPEECH 2024 Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion CVPR 2024 The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NIPS 2024 Small-scale proxies for large-scale Transformer training instabilities ICLR 2024 Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024 Towards Last-layer Retraining for Group Robustness with Fewer Annotations NIPS 2023 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 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 Implicit rate-constrained optimization of non-decomposable objectives ICML 2021 Bayesian Structural Adaptation for Continual Learning ICML 2021 Generalized Adversarially Learned Inference AAAI 2021 Risk score learning for COVID-19 contact tracing apps MLHC 2021 Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval ICCV 2021 Score-Based Generative Modeling through Stochastic Differential Equations ICLR 2021 Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020 Weakly Supervised Disentanglement with Guarantees ICLR 2020 On Implicit Regularization in $Ξ²$-VAEs ICML 2020 SpotTune: Transfer Learning Through Adaptive Fine-Tuning CVPR 2019 The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets SEMEVAL 2019 Variational Inference of Disentangled Latent Concepts from Unlabeled Observations ICLR 2018 Delta-encoder: an effective sample synthesis method for few-shot object recognition NIPS 2018 Co-regularized Alignment for Unsupervised Domain Adaptation NIPS 2018 BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018 Knowledge-Enriched Two-Layered Attention Network for Sentiment Analysis NAACL 2018 IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text SEMEVAL 2017 A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis EMNLP 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 Local Group Invariant Representations via Orbit Embeddings AISTATS 2017 Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference NIPS 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